Triple

T19355938
Position Surface form Disambiguated ID Type / Status
Subject Mary Williamson Averell E484144 entity
Predicate givenName P17 FINISHED
Object Williamson 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: Williamson | Statement: [Mary Williamson Averell, givenName, Williamson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Williamson
Context triple: [Mary Williamson Averell, givenName, Williamson]
  • A. Williamson chosen
    Williamson is a surname of English and Scottish origin, traditionally meaning "son of William."
  • B. Williamson
    Williamson is a small city in southern West Virginia known historically as a coal-mining community and commercial hub in the Tug Fork River valley.
  • C. Williamson
    Williamson is a small city located in Marion County, Iowa, in the United States.
  • D. Whigham
    Whigham is a surname most notably associated with American actor Shea Whigham, known for his character roles in film and television.
  • E. Willingham
    Willingham is a surname most notably associated with Tyrone Willingham, an American college football coach.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61908920c8190833051e30ad2420c completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.