Triple

T9777039
Position Surface form Disambiguated ID Type / Status
Subject Stephen Sinclair E237272 entity
Predicate collaboratedWith P435 FINISHED
Object Philippa Boyens E47098 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: Philippa Boyens | Statement: [Stephen Sinclair, collaboratedWith, Philippa Boyens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippa Boyens
Context triple: [Stephen Sinclair, collaboratedWith, Philippa Boyens]
  • A. Philippa Boyens chosen
    Philippa Boyens is a New Zealand screenwriter and producer best known for co-writing Peter Jackson’s film adaptations of J.R.R. Tolkien’s works, including The Lord of the Rings trilogy.
  • B. Mark Fergus
    Mark Fergus is an American screenwriter and filmmaker best known for co-writing acclaimed films such as "Children of Men" and "Iron Man."
  • C. Scott Z. Burns
    Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
  • D. Jon Hurwitz
    Jon Hurwitz is an American screenwriter, producer, and director best known as the co-creator of the Harold & Kumar film series and the Netflix series Cobra Kai.
  • E. Wes Ball
    Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda133ef548190aaecdf49de9c5aa8 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd1d4b6881908b773e03de17f680 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.