Triple

T6700274
Position Surface form Disambiguated ID Type / Status
Subject Julie Delpy E152859 entity
Predicate workedWith P398 FINISHED
Object Ethan Hawke E239099 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: Ethan Hawke | Statement: [Julie Delpy, workedWith, Ethan Hawke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethan Hawke
Context triple: [Julie Delpy, workedWith, Ethan Hawke]
  • A. Ethan Hawke chosen
    Ethan Hawke is an American actor, writer, and director known for films such as the "Before" trilogy, "Training Day," and "Boyhood."
  • B. Hamish Linklater
    Hamish Linklater is an American actor known for his work in television, film, and theater, including prominent roles in series like "The New Adventures of Old Christine" and "Midnight Mass."
  • C. James Payn
    James Payn was a 19th-century English novelist and journalist known for his popular fiction and influential role in Victorian literary circles.
  • D. Campbell Scott
    Campbell Scott is an American actor and director known for roles in films like "Singles" and "The Spanish Prisoner" and for his work in both independent cinema and mainstream television.
  • E. Josh Stewart
    Josh Stewart is an American actor known for his roles in films like "The Collector" series and "The Dark Knight Rises" as well as television shows such as "Criminal Minds."
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a7355081908a0acfa8d2bb4c09 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7c127288190a9917f482217a8df completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.