Triple

T20756235
Position Surface form Disambiguated ID Type / Status
Subject Agent Tom Colby E510853 entity
Predicate portrayedBy P1507 FINISHED
Object William Reynolds E335726 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: William Reynolds | Statement: [Agent Tom Colby, portrayedBy, William Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Reynolds
Context triple: [Agent Tom Colby, portrayedBy, William Reynolds]
  • A. William Reynolds
    William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
  • B. William Reynolds
    William Reynolds was the brother of Union Major General John F. Reynolds, a prominent officer in the American Civil War.
  • C. William Reynolds chosen
    William Reynolds was an American film and television actor known for his supporting roles in 1950s melodramas and later for co-starring in the TV series "The F.B.I."
  • D. William Reynolds
    William Reynolds is a film editor known for his work on the 1960 adventure drama "Wild River."
  • E. David Reynolds
    David Reynolds is an American screenwriter best known for his work on acclaimed animated films such as Pixar's "Finding Nemo."
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22fbc4c8190866a888612c6ad23 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8e823608190b996eaeb48838aed completed May 17, 2026, 1:55 p.m.
Created at: April 16, 2026, 12:35 p.m.