Triple

T17652266
Position Surface form Disambiguated ID Type / Status
Subject The Widow E429523 entity
Predicate creator P184 FINISHED
Object Harry Williams NE NERFINISHED

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: Harry Williams | Statement: [The Widow, creator, Harry Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Williams
Context triple: [The Widow, creator, Harry Williams]
  • A. Harry Williams chosen
    Harry Williams is a creator known for work associated with Baptiste, likely in a creative or artistic field such as media, design, or content production.
  • B. Jonathan Williams
    Jonathan Williams was an early American military engineer and officer who served as the first superintendent of the United States Military Academy at West Point.
  • C. Jonathan Williams
    Jonathan Williams was an American poet, publisher, and founder of the Jargon Society, closely associated with the experimental Black Mountain poetry movement.
  • D. Jonathan Williams
    Jonathan Williams is a composer known for contributing music to the acclaimed action role-playing video game Horizon Zero Dawn.
  • E. Gart Williams
    Gart Williams is the harried, middle-aged advertising executive who longs for escape and tranquility in the classic The Twilight Zone episode "A Stop at Willoughby."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3e0ae481908382570f802d8144 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.