Triple

T14214610
Position Surface form Disambiguated ID Type / Status
Subject Karen Crowder E352314 entity
Predicate createdBy P806 FINISHED
Object Tony Gilroy E201162 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: Tony Gilroy | Statement: [Karen Crowder, createdBy, Tony Gilroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Gilroy
Context triple: [Karen Crowder, createdBy, Tony Gilroy]
  • A. Tony Gilroy chosen
    Tony Gilroy is an American filmmaker and screenwriter best known for writing the Bourne film series and directing the acclaimed thriller "Michael Clayton."
  • B. Zak Penn
    Zak Penn is an American screenwriter and director known for his work on major science fiction and superhero films such as "The Avengers," "X2," and "Ready Player One."
  • C. Christopher McQuarrie
    Christopher McQuarrie is an American filmmaker and screenwriter best known for writing "The Usual Suspects" and directing several "Mission: Impossible" films.
  • D. David Koepp
    David Koepp is an American screenwriter and director best known for writing major Hollywood films such as Jurassic Park, Mission: Impossible, and Spider-Man.
  • E. Steve Kloves
    Steve Kloves is an American screenwriter best known for adapting most of the Harry Potter novels into the successful 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb5a64c81908cb8c50bbfa239a4 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:06 a.m.