Triple

T5352065
Position Surface form Disambiguated ID Type / Status
Subject Oren Moverman E102599 entity
Predicate workedWith P398 FINISHED
Object Ben Foster E126305 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: Ben Foster | Statement: [Oren Moverman, workedWith, Ben Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Foster
Context triple: [Oren Moverman, workedWith, Ben Foster]
  • A. 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.
  • B. Ben Foster chosen
    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."
  • C. James Badge Dale
    James Badge Dale is an American actor known for his intense character roles in film and television, including performances in projects like "The Pacific," "Iron Man 3," and "World War Z."
  • D. Joel David Moore
    Joel David Moore is an American actor and director best known for his roles in films like "Avatar" and the TV series "Bones."
  • E. Shea Whigham
    Shea Whigham is an American character actor known for his intense, often gritty supporting roles in film and television, including prominent parts in series like "Boardwalk Empire" and numerous acclaimed movies.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861188ac81908ef2b1f25cc6c864 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29193b6c8190bbf0854b4a766009 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:01 p.m.