Triple

T9396941
Position Surface form Disambiguated ID Type / Status
Subject Jack Dafoe E226166 entity
Predicate name P16 FINISHED
Object Jack Dafoe E226166 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 Dafoe | Statement: [Jack Dafoe, name, Jack Dafoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Dafoe
Context triple: [Jack Dafoe, name, Jack Dafoe]
  • A. Jack Dafoe chosen
    Jack Dafoe is the son of acclaimed American actor Willem Dafoe and has largely maintained a private life outside of the entertainment industry.
  • B. Waddy Butler Wood
    Waddy Butler Wood was an American architect known for his influential early 20th-century designs in Washington, D.C., including notable residential and public buildings.
  • C. Brian Faulkner
    Brian Faulkner was a prominent Northern Irish politician who served as the last Prime Minister of Northern Ireland before the government’s suspension in 1972.
  • D. Michael Hurley
    Michael Hurley is an American folk singer-songwriter and artist known for his idiosyncratic, offbeat style and influential contributions to the 1960s and 1970s underground folk scene.
  • E. Charles West
    Charles West was a 19th-century English physician and pioneer of pediatric medicine who played a key role in advancing hospital care for children.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1011aef64819085cbb7e04c2d87b2 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.