Triple

T14657240
Position Surface form Disambiguated ID Type / Status
Subject Dopesick E344141 entity
Predicate executiveProducer P7225 FINISHED
Object Danny Strong E140778 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: Danny Strong | Statement: [Dopesick, executiveProducer, Danny Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Strong
Context triple: [Dopesick, executiveProducer, Danny Strong]
  • A. Danny Strong chosen
    Danny Strong is an American actor, screenwriter, and producer known for his work on acclaimed projects such as the TV series Empire and the films Recount and Game Change.
  • B. Warren Leight
    Warren Leight is an American television writer, producer, and playwright best known for his leadership and storytelling on crime and legal drama series.
  • C. Patrick Melton
    Patrick Melton is an American screenwriter and producer best known for co-writing several installments of the Saw horror film franchise.
  • D. Daniel Waters
    Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
  • E. Stephen Flaherty
    Stephen Flaherty is an American composer best known for his work in musical theatre, including the scores for shows like Ragtime, Once on This Island, and Anastasia.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7c7df88190a4e551a12f6e8158 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:27 a.m.