Triple
T6555688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Berenger |
E152440
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sniper
Sniper is a 1993 action thriller film about an expert Marine sniper and his spotter undertaking a dangerous mission in the Panamanian jungle.
|
E604758
|
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: Sniper | Statement: [Tom Berenger, notableWork, Sniper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sniper Context triple: [Tom Berenger, notableWork, Sniper]
-
A.
Sniper School
Sniper School is a specialized U.S. Army training program that teaches soldiers advanced marksmanship, fieldcraft, and long-range precision engagement skills.
-
B.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
C.
Killshot
Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
-
D.
The Specialist
The Specialist is a 1994 action thriller film starring Sylvester Stallone and Sharon Stone, centered on a bomb expert drawn into a deadly revenge plot.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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: Sniper Triple: [Tom Berenger, notableWork, Sniper]
Generated description
Sniper is a 1993 action thriller film about an expert Marine sniper and his spotter undertaking a dangerous mission in the Panamanian jungle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sniper Target entity description: Sniper is a 1993 action thriller film about an expert Marine sniper and his spotter undertaking a dangerous mission in the Panamanian jungle.
-
A.
Sniper School
Sniper School is a specialized U.S. Army training program that teaches soldiers advanced marksmanship, fieldcraft, and long-range precision engagement skills.
-
B.
Shooter
"Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
-
C.
Killshot
Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
-
D.
The Specialist
The Specialist is a 1994 action thriller film starring Sylvester Stallone and Sharon Stone, centered on a bomb expert drawn into a deadly revenge plot.
-
E.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1d28bc8190a2fa4b3e1e39863c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55707d081908104f08e1d59d603 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.