Triple

T1249168
Position Surface form Disambiguated ID Type / Status
Subject Michael Green E26834 entity
Predicate name P16 FINISHED
Object Michael Green unclear NED1 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 Green | Statement: [Michael Green, name, Michael Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Green
Context triple: [Michael Green, name, Michael Green]
  • A. Michael Green
    Michael Green is a prominent British theoretical physicist known for his pioneering work in string theory and quantum gravity.
  • B. Michael Green
    Michael Green is an American screenwriter and producer known for his work on major films and television series, including projects like "Logan," "Blade Runner 2049," and "American Gods."
  • C. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • D. Michael Filerman
    Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
  • E. Richard J. Riordan
    Richard J. Riordan was an American businessman, philanthropist, and Republican politician who served as mayor of Los Angeles from 1993 to 2001.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf83b32c81908648e5748b897247 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f7f59148190a9f1cbd4af8a115e completed March 7, 2026, 8:50 p.m.
Created at: March 1, 2026, 7:47 p.m.