Triple
T7355120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passenger 57 |
E169602
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
John Cutter
John Cutter is the tough, resourceful airline security expert portrayed by Wesley Snipes in the 1992 action thriller film "Passenger 57."
|
E658663
|
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: John Cutter | Statement: [Passenger 57, mainCharacter, John Cutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Cutter Context triple: [Passenger 57, mainCharacter, John Cutter]
-
A.
Alex Cahill
Alex Cahill is a key supporting character in the television series "Walker, Texas Ranger," serving as an assistant district attorney and Walker’s close ally and love interest.
-
B.
Jack Napier
Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
-
C.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
D.
Nathan Dane
Nathan Dane was an American lawyer and statesman best known for drafting the Northwest Ordinance of 1787, which shaped the early expansion and governance of the United States.
-
E.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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: John Cutter Triple: [Passenger 57, mainCharacter, John Cutter]
Generated description
John Cutter is the tough, resourceful airline security expert portrayed by Wesley Snipes in the 1992 action thriller film "Passenger 57."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Cutter Target entity description: John Cutter is the tough, resourceful airline security expert portrayed by Wesley Snipes in the 1992 action thriller film "Passenger 57."
-
A.
Alex Cahill
Alex Cahill is a key supporting character in the television series "Walker, Texas Ranger," serving as an assistant district attorney and Walker’s close ally and love interest.
-
B.
Jack Napier
Jack Napier is the gangster who becomes the Joker, the primary antagonist in Tim Burton’s 1989 Batman film.
-
C.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
D.
Nathan Dane
Nathan Dane was an American lawyer and statesman best known for drafting the Northwest Ordinance of 1787, which shaped the early expansion and governance of the United States.
-
E.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fc2c90488190bd3aa5bf72606723 |
completed | March 28, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb5f7f0819081e70f8809bb34ae |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.