Triple

T13992602
Position Surface form Disambiguated ID Type / Status
Subject Help (2021 film) E336617 entity
Predicate screenplayBy P15305 FINISHED
Object Jack Thorne E318167 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: Jack Thorne | Statement: [Help (2021 film), screenplayBy, Jack Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Thorne
Context triple: [Help (2021 film), screenplayBy, Jack Thorne]
  • A. Jack Thorne chosen
    Jack Thorne is a British playwright and screenwriter known for works such as the stage play "Harry Potter and the Cursed Child" and numerous acclaimed film and television scripts.
  • B. Alan North
    Alan North was an American character actor known for his roles in film and television, often portraying authority figures such as police officers and military men.
  • C. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
  • D. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
  • E. Tony Way
    Tony Way is an English actor, comedian, and writer known for his supporting roles in film and television, including appearances in projects like Game of Thrones and various British comedies.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32789e08190be0f1d1685dcc90e completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.