Triple

T6957839
Position Surface form Disambiguated ID Type / Status
Subject Kelly Marcel E161290 entity
Predicate collaboratedWith P435 FINISHED
Object Sam Taylor-Johnson E197290 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: Sam Taylor-Johnson | Statement: [Kelly Marcel, collaboratedWith, Sam Taylor-Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Taylor-Johnson
Context triple: [Kelly Marcel, collaboratedWith, Sam Taylor-Johnson]
  • A. Sam Taylor-Johnson chosen
    Sam Taylor-Johnson is a British filmmaker and artist known for directing feature films such as "Nowhere Boy" and the adaptation of "Fifty Shades of Grey."
  • B. Sian Heder
    Sian Heder is an American filmmaker and screenwriter best known for writing and directing the Academy Award–winning film "CODA."
  • C. Josie Rourke
    Josie Rourke is a British theatre and film director known for her acclaimed stage work and for making her feature film debut with the historical drama "Mary Queen of Scots" (2018).
  • D. Kate O’Flynn
    Kate O’Flynn is a British actress known for her work in film, television, and theatre, including a role in the romantic comedy sequel "Bridget Jones’s Baby."
  • E. Alison Pill
    Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad240ac8190808014a5b4920b41 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7588e2c5c8190a66a0205f3c2bf99 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.