Triple

T10288382
Position Surface form Disambiguated ID Type / Status
Subject Martha Plimpton E241295 entity
Predicate relative P37 FINISHED
Object Michael Bowen E320046 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 Bowen | Statement: [Martha Plimpton, relative, Michael Bowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bowen
Context triple: [Martha Plimpton, relative, Michael Bowen]
  • A. Michael Bowen (various) chosen
    Michael Bowen is a name shared by multiple notable individuals across different fields, such as acting, art, and religion.
  • B. Stan Bowles
    Stan Bowles was a talented and charismatic English forward of the 1970s, best known for his flair, creativity, and cult-hero status in domestic football.
  • C. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • D. John Bowman
    John Bowman was a 19th-century American politician who served in a key statewide infrastructure and regulatory role in New York.
  • E. Wayne Tinkle
    Wayne Tinkle is an American college basketball coach best known for leading the Oregon State Beavers men's basketball program and previously revitalizing the University of Montana team.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8556f4081908390bc5c14dcf560 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:41 a.m.