Triple

T14832323
Position Surface form Disambiguated ID Type / Status
Subject Footloose (2011 film) E348737 entity
Predicate producer P490 FINISHED
Object Neil Meron E69499 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: Neil Meron | Statement: [Footloose (2011 film), producer, Neil Meron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Meron
Context triple: [Footloose (2011 film), producer, Neil Meron]
  • A. Neil Meron chosen
    Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
  • B. Mark Derwin
    Mark Derwin is an American actor best known for his television roles in soap operas and family dramas, including a prominent part on *The Secret Life of the American Teenager*.
  • C. Jonathan Hadary
    Jonathan Hadary is an American stage and screen actor known for his work in Broadway productions and various film and television roles.
  • D. Marc Zamarin
    Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
  • E. Guy Nattiv
    Guy Nattiv is an Israeli filmmaker and screenwriter known for his socially conscious dramas, including the Oscar-winning short film "Skin" and its feature-length adaptation.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce5d0708190bbfff5d68c5e7a3c completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 1:52 a.m.