Triple

T9165214
Position Surface form Disambiguated ID Type / Status
Subject Colin Woodell E219936 entity
Predicate name P16 FINISHED
Object Colin Woodell E219936 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: Colin Woodell | Statement: [Colin Woodell, name, Colin Woodell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colin Woodell
Context triple: [Colin Woodell, name, Colin Woodell]
  • A. Colin Woodell chosen
    Colin Woodell is an American actor known for his leading role in the television adaptation of "The Purge" and appearances in various film and TV projects.
  • B. Gil Stratton
    Gil Stratton was an American character actor and sportscaster known for his roles in mid-20th-century films and television, as well as his long career in Los Angeles sports broadcasting.
  • C. Colin Englert
    Colin Englert is an Australian filmmaker and assistant director best known for his work in film and television and for his former marriage to acclaimed director Jane Campion.
  • D. Phil Reeves
    Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
  • E. Jon Jerde
    Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa3055048190870211449c78fc4e completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05484c2688190a5c64b5b54bedbb5 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.