Triple

T3286982
Position Surface form Disambiguated ID Type / Status
Subject 21 Laps Entertainment E69004 entity
Predicate collaboratedWith P435 FINISHED
Object Dan Cohen E223330 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: Dan Cohen | Statement: [21 Laps Entertainment, collaboratedWith, Dan Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Cohen
Context triple: [21 Laps Entertainment, collaboratedWith, Dan Cohen]
  • A. Dan Cohen chosen
    Dan Cohen is a film and television producer best known for his work on major genre projects, including serving as an executive producer on the hit Netflix series "Stranger Things."
  • B. 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.
  • 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. Andrew Cohen
    Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
  • E. Bruce Cohen
    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."
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.