Triple

T3066277
Position Surface form Disambiguated ID Type / Status
Subject American Beauty E62110 entity
Predicate producer P490 FINISHED
Object Bruce Cohen E102051 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: Bruce Cohen | Statement: [American Beauty, producer, Bruce Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Cohen
Context triple: [American Beauty, producer, Bruce Cohen]
  • A. Bruce Cohen chosen
    Bruce Cohen is an American film and television producer best known for his work on acclaimed films such as "American Beauty" and "Silver Linings Playbook."
  • B. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • C. Rob Cohen
    Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
  • D. Adam Cohen
    Adam Cohen is a Canadian singer-songwriter and musician, best known as the son of legendary artist Leonard Cohen and for his own solo and band projects.
  • E. Jake Cohen
    Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef16cf2881908265dfe8a1e3424d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.