Triple

T10173062
Position Surface form Disambiguated ID Type / Status
Subject Michael Ward E235779 entity
Predicate knownAs P39 FINISHED
Object Michael Ward E756619 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: Michael Ward | Statement: [Michael Ward, knownAs, Michael Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ward
Context triple: [Michael Ward, knownAs, Michael Ward]
  • A. Michael Ward
    Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • B. Michael Ward chosen
    Michael Ward was a British mountaineer and expedition doctor best known for his key role in the successful 1953 Mount Everest expedition.
  • C. David S. Ward
    David S. Ward is an American screenwriter and director best known for writing the Oscar-winning film "The Sting" and other popular movies.
  • D. Julian Wintle
    Julian Wintle was a British film and television producer known for his work on numerous mid-20th-century productions, including influential thrillers and dramas.
  • E. Michael Frost
    Michael Frost is an Australian missiologist, author, and speaker known for his influential work on the missional church and Christian mission in contemporary culture.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9f6dd8819081588600499165ee completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32acbd9ec81908849b17d8ba1dd11 completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:10 p.m.