Triple

T7394544
Position Surface form Disambiguated ID Type / Status
Subject Albert J. Beveridge Award E170588 entity
Predicate notableRecipient P108 FINISHED
Object Gordon S. Wood E126486 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: Gordon S. Wood | Statement: [Albert J. Beveridge Award, notableRecipient, Gordon S. Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gordon S. Wood
Context triple: [Albert J. Beveridge Award, notableRecipient, Gordon S. Wood]
  • A. Gordon S. Wood chosen
    Gordon S. Wood is a prominent American historian renowned for his influential scholarship on the American Revolution and the early United States.
  • B. J. O. Taylor
    J. O. Taylor was a cinematographer active during early Hollywood who worked on the landmark 1933 monster film "King Kong."
  • C. David T. Wilentz
    David T. Wilentz was a prominent American lawyer and politician best known as the New Jersey Attorney General who prosecuted the Lindbergh kidnapping case.
  • D. Alan Taylor
    Alan Taylor is an American film and television director known for his work on major projects such as "Game of Thrones," "Thor: The Dark World," and "Terminator Genisys."
  • E. Alan Taylor
    Alan Taylor is an American historian renowned for his influential works on early American history, for which he has twice won the Pulitzer Prize for History.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2263b48819089319a2a2f0d3357 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ecf65388190a149efc77aedcd91 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:09 p.m.