Triple

T7371838
Position Surface form Disambiguated ID Type / Status
Subject Woodward Hill Cemetery E170023 entity
Predicate namedAfter P63 FINISHED
Object William Woodward E264685 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 Woodward | Statement: [Woodward Hill Cemetery, namedAfter, William Woodward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Woodward
Context triple: [Woodward Hill Cemetery, namedAfter, William Woodward]
  • A. William Woodward chosen
    William Woodward is a name shared by several notable individuals, including American politicians, businessmen, and artists distinguished in their respective fields.
  • B. John Charles Woodward
    John Charles Woodward was an educator and philanthropist best known for establishing Woodward Academy, a prominent independent school in Georgia.
  • C. Robert De Witt
    Robert De Witt is a person notable enough to be recognized as a namesake of the surname De Witt.
  • D. Edward Linden
    Edward Linden was an American cinematographer best known for his work on classic early Hollywood films, including the pioneering visual effects and photography of the 1933 monster movie "King Kong."
  • E. Robert Morton
    Robert Morton is an American television producer best known for his work as executive producer of the late-night talk show "Late Night with David Letterman."
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f18451d88190ad4a2674279bb703 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c711788190806987567dbc9942 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.