Triple
T21270486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Destination 2 |
E524242
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Gary Capo
Gary Capo is a cinematographer best known for his work on the horror film "Final Destination 2."
|
E1475124
|
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: Gary Capo | Statement: [Final Destination 2, cinematographyBy, Gary Capo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Capo Context triple: [Final Destination 2, cinematographyBy, Gary Capo]
-
A.
Brian Capener
Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
-
B.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
-
C.
Dan Caplen
Dan Caplen is a British singer, songwriter, and producer known for his soulful vocals and collaborations in contemporary pop and R&B music.
-
D.
Gary Portnoy
Gary Portnoy is an American singer-songwriter best known for co-writing and performing the iconic theme song to the television sitcom "Cheers."
-
E.
Larry Cipa
Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
- 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: Gary Capo Triple: [Final Destination 2, cinematographyBy, Gary Capo]
Generated description
Gary Capo is a cinematographer best known for his work on the horror film "Final Destination 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Capo Target entity description: Gary Capo is a cinematographer best known for his work on the horror film "Final Destination 2."
-
A.
Brian Capener
Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
-
B.
Charlie Cappa
Charlie Cappa is the conflicted small-time hood and devout yet morally torn protagonist of Martin Scorsese’s crime drama film "Mean Streets."
-
C.
Dan Caplen
Dan Caplen is a British singer, songwriter, and producer known for his soulful vocals and collaborations in contemporary pop and R&B music.
-
D.
Gary Portnoy
Gary Portnoy is an American singer-songwriter best known for co-writing and performing the iconic theme song to the television sitcom "Cheers."
-
E.
Larry Cipa
Larry Cipa is a former American football quarterback best known for his play in the short-lived World Football League, particularly with the Chicago Fire.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651c9208190a87d45acd6fafaaa |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099004e2388190b68ff3b9ddd2ae7c |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a09912674208190b30d2ba4b75dcf06 |
completed | May 17, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09928878208190bdfdbfa4d33350e1 |
completed | May 17, 2026, 10:03 a.m. |
Created at: April 16, 2026, 4:01 p.m.