Triple
T15419464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessy Terrero |
E369334
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Gun
"Gun" is a 2010 American crime drama film directed by Jessy Terrero and starring 50 Cent and Val Kilmer, centered on the illicit firearms trade.
|
E1156823
|
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: Gun | Statement: [Jessy Terrero, notableWork, Gun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gun Context triple: [Jessy Terrero, notableWork, Gun]
-
A.
Gun
"Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
-
B.
Gun
Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
-
C.
GUN
GUN is the National Rail station code for Gunnersbury railway station in London, United Kingdom.
-
D.
Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
-
E.
Table Gun
Table Gun is a Philippe Starck–designed table lamp shaped like a firearm, created as part of the provocative Gun Lamp series for the Italian lighting brand Flos.
- 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: Gun Triple: [Jessy Terrero, notableWork, Gun]
Generated description
"Gun" is a 2010 American crime drama film directed by Jessy Terrero and starring 50 Cent and Val Kilmer, centered on the illicit firearms trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gun Target entity description: "Gun" is a 2010 American crime drama film directed by Jessy Terrero and starring 50 Cent and Val Kilmer, centered on the illicit firearms trade.
-
A.
Gun
"Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
-
B.
Gun
Gun is a Scottish surname most prominently linked to Clan Gunn, a historic Highland clan from Caithness and Sutherland.
-
C.
GUN
GUN is the National Rail station code for Gunnersbury railway station in London, United Kingdom.
-
D.
Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
-
E.
Table Gun
Table Gun is a Philippe Starck–designed table lamp shaped like a firearm, created as part of the provocative Gun Lamp series for the Italian lighting brand Flos.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1bc3aa2c8190b61d21fa78682ea1 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1cbccab48190b9e19b5a09324d8c |
completed | May 9, 2026, 11:38 a.m. |
Created at: April 10, 2026, 3:20 a.m.