Triple

T21962759
Position Surface form Disambiguated ID Type / Status
Subject Michael Wentworth E542375 entity
Predicate name P16 FINISHED
Object Michael Wentworth 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: Michael Wentworth | Statement: [Michael Wentworth, name, Michael Wentworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Wentworth
Context triple: [Michael Wentworth, name, Michael Wentworth]
  • A. Michael Wentworth chosen
    Michael Wentworth is a person who uses or is associated with the identifier or name "Wentworth."
  • B. Joseph Hepworth
    Joseph Hepworth was a 19th-century British clothing manufacturer and entrepreneur whose tailoring business evolved into what is now the fashion retailer Next plc.
  • C. Frank Worthington
    Frank Worthington was an English professional footballer best known as a flamboyant forward who played for clubs such as Leicester City and Bolton Wanderers during the 1970s and 1980s.
  • D. Daniel Lamont
    Daniel Lamont is a relatively obscure individual whose primary current distinction is simply being noted as a bearer of the surname Lamont.
  • E. Michael Langdon
    Michael Langdon is a central, supernaturally powerful antagonist in the American Horror Story universe, known as the prophesied Antichrist.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12458e4488190a04f8d3958854b49 completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:01 p.m.