Triple

T9111448
Position Surface form Disambiguated ID Type / Status
Subject Mann family E218609 entity
Predicate hasNotableMember P304 FINISHED
Object Michael Mann (historian) E218608 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 Mann (historian) | Statement: [Mann family, hasNotableMember, Michael Mann (historian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Mann (historian)
Context triple: [Mann family, hasNotableMember, Michael Mann (historian)]
  • A. Michael Mann (historian) chosen
    Michael Mann is a British sociologist and historian renowned for his influential work on social power, state formation, and the sources of social cohesion and conflict.
  • B. John W. Blum
    John W. Blum is a screenwriter best known for his work on the comedy film "The Man from the Diners' Club."
  • C. Kenneth H. Jackson
    Kenneth H. Jackson was a prominent 20th-century British linguist and historian renowned for his pioneering research on the history and development of the Celtic languages.
  • D. Arthur Mann
    Arthur Mann is a music industry figure known for co-founding the influential independent record label Rykodisc.
  • E. Thomas E. Gaddis
    Thomas E. Gaddis was an American writer best known for his biographical works on prisoners, most notably the book that inspired the film "Birdman of Alcatraz."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8495c448190b9bb3803fb2dda70 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030467b188190a6d99bf2fc65207d completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.