Triple

T3422687
Position Surface form Disambiguated ID Type / Status
Subject The Lion in Winter E72149 entity
Predicate editor P1954 FINISHED
Object John Bloom E132904 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: John Bloom | Statement: [The Lion in Winter, editor, John Bloom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bloom
Context triple: [The Lion in Winter, editor, John Bloom]
  • A. John Bloom chosen
    John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
  • B. Steve Bloom
    Steve Bloom is a film editor best known for his work on the Pixar animated feature "Turning Red."
  • C. Sid Phillips
    Sid Phillips is the sadistic, toy-destroying neighborhood bully who serves as the primary human antagonist in Pixar's original Toy Story film.
  • D. Steve Stiles
    Steve Stiles was an American cartoonist and illustrator best known for his influential work in science fiction fandom and fanzines.
  • E. Dave Guy
    Dave Guy is an American trumpet player best known for his work with the hip-hop band The Roots and as a prominent session and touring musician.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35472881c8190baf90b91daa924ec completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.