Triple
T1198342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sicario |
E25718
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
|
E261275
|
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: Matt Graver | Statement: [Sicario, character, Matt Graver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Graver Context triple: [Sicario, character, Matt Graver]
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Michael Nylander
Michael Nylander is a Swedish former professional ice hockey center who played over 900 NHL games and was known for his playmaking skills with teams such as the New York Rangers and Washington Capitals.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
D.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
E.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
- 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: Matt Graver Triple: [Sicario, character, Matt Graver]
Generated description
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Graver Target entity description: Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Michael Nylander
Michael Nylander is a Swedish former professional ice hockey center who played over 900 NHL games and was known for his playmaking skills with teams such as the New York Rangers and Washington Capitals.
-
C.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
D.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
E.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9c013c8190822d44d465d60fdb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea82191408190892e9a8e12504a8f |
completed | March 9, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69aeac4b9b108190b440c991342df9b6 |
completed | March 9, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeacc8445481908a3ae8bd62493413 |
completed | March 9, 2026, 11:19 a.m. |
Created at: March 1, 2026, 7:46 p.m.