Triple

T4979265
Position Surface form Disambiguated ID Type / Status
Subject In the Heights E111841 entity
Predicate filmAdaptationDirector P255 FINISHED
Object Jon M. Chu E330330 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: Jon M. Chu | Statement: [In the Heights, filmAdaptationDirector, Jon M. Chu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon M. Chu
Context triple: [In the Heights, filmAdaptationDirector, Jon M. Chu]
  • A. Jon M. Chu chosen
    Jon M. Chu is an American film director best known for stylish, music- and dance-driven movies such as the Step Up sequels, Crazy Rich Asians, and In the Heights.
  • B. Justin Lin
    Justin Lin is a Taiwanese-American film director best known for revitalizing the Fast & Furious franchise and directing the science-fiction film Star Trek Beyond.
  • C. Wayne Wang
    Wayne Wang is a pioneering Chinese American filmmaker best known for directing influential cross-cultural dramas such as "Chan Is Missing" and "The Joy Luck Club."
  • D. Gareth Evans
    Gareth Evans was a British philosopher renowned for his influential work in the philosophy of language and mind, particularly on reference, identity, and the nature of thought.
  • E. Joseph Kosinski
    Joseph Kosinski is an American film director known for visually striking, effects-driven blockbusters such as Tron: Legacy, Oblivion, and Top Gun: Maverick.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd723418e881908f1e43b1be0a2f17 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0ac8d48190b9d050e26b67a794 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.