Triple

T6357995
Position Surface form Disambiguated ID Type / Status
Subject Tom Cooper E143039 entity
Predicate portrayedBy P1507 FINISHED
Object Casey Affleck E8985 NE FINISHED

How this triple was built (2 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: Casey Affleck | Statement: [Tom Cooper, portrayedBy, Casey Affleck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casey Affleck
Context triple: [Tom Cooper, portrayedBy, Casey Affleck]
  • A. Casey Affleck chosen
    Casey Affleck is an American actor and filmmaker known for his understated, emotionally intense performances in films such as "Manchester by the Sea," for which he won the Academy Award for Best Actor.
  • B. Michael Pitt
    Michael Pitt is an American actor and musician best known for his roles in films like "The Dreamers" and "Funny Games" and for his prominent television work in series such as "Boardwalk Empire" and "Hannibal."
  • C. Ian Affleck
    Ian Affleck is a Canadian theoretical physicist known for influential contributions to condensed matter physics and quantum field theory.
  • D. Ben Foster
    Ben Foster is a British composer and orchestrator best known for his work on television scores, including contributions to the revived Doctor Who series.
  • E. Ben Foster
    Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008d7a9c4819098d647ec47776917 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067f5bdd481909cf9db595ddb27df completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5f134c8190817037ad933c4d2b completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:32 p.m.