Triple
T9854875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transporter 2 |
E239557
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object |
Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son.
Transporter 2 is an action film sequel following professional driver Frank Martin as he battles kidnappers and a bioterrorist threat targeting the young son of a wealthy Miami family.
|
E824254
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son. | Statement: [Transporter 2, plotSummary, Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son. Context triple: [Transporter 2, plotSummary, Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son.]
-
A.
Albert Lambreaux in Treme
Albert Lambreaux in Treme is a proud, stubborn Mardi Gras Indian chief in post-Katrina New Orleans who fights to preserve his culture and community amid the city’s struggle to rebuild.
-
B.
MacMartin
MacMartin is a Scottish surname historically linked to Clan Cameron and its Highland heritage.
-
C.
FBI Special Agent Adam Frawley
FBI Special Agent Adam Frawley is a determined and relentless federal investigator in the crime thriller film "The Town," tasked with tracking down a crew of Boston bank robbers.
-
D.
Troy Kennedy Martin
Troy Kennedy Martin was a British television and film screenwriter best known for creating the series "Z-Cars" and writing the original 1969 film "The Italian Job."
-
E.
Frank Abagnale Jr.
Frank Abagnale Jr. is a former con artist and imposter whose youthful exploits in check fraud and identity deception inspired the film "Catch Me If You Can."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son. Triple: [Transporter 2, plotSummary, Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son.]
Generated description
Transporter 2 is an action film sequel following professional driver Frank Martin as he battles kidnappers and a bioterrorist threat targeting the young son of a wealthy Miami family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Martin works as a driver and bodyguard for a wealthy family in Miami and becomes embroiled in a kidnapping and bioterrorism plot involving the family’s young son. Target entity description: Transporter 2 is an action film sequel following professional driver Frank Martin as he battles kidnappers and a bioterrorist threat targeting the young son of a wealthy Miami family.
-
A.
Albert Lambreaux in Treme
Albert Lambreaux in Treme is a proud, stubborn Mardi Gras Indian chief in post-Katrina New Orleans who fights to preserve his culture and community amid the city’s struggle to rebuild.
-
B.
MacMartin
MacMartin is a Scottish surname historically linked to Clan Cameron and its Highland heritage.
-
C.
FBI Special Agent Adam Frawley
FBI Special Agent Adam Frawley is a determined and relentless federal investigator in the crime thriller film "The Town," tasked with tracking down a crew of Boston bank robbers.
-
D.
Troy Kennedy Martin
Troy Kennedy Martin was a British television and film screenwriter best known for creating the series "Z-Cars" and writing the original 1969 film "The Italian Job."
-
E.
Frank Abagnale Jr.
Frank Abagnale Jr. is a former con artist and imposter whose youthful exploits in check fraud and identity deception inspired the film "Catch Me If You Can."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f5b6148190bcccebd0aefb4bc9 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6917f0081908b2c82a826873faf |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d73452b48190ac3a0d6498a9a641 |
completed | April 5, 2026, 3:29 a.m. |
Created at: March 30, 2026, 8:34 p.m.