Triple

T21743033
Position Surface form Disambiguated ID Type / Status
Subject Michael Michele E536712 entity
Predicate name P16 FINISHED
Object Michael Michele 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 Michele | Statement: [Michael Michele, name, Michael Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Michele
Context triple: [Michael Michele, name, Michael Michele]
  • A. Michael Michele chosen
    Michael Michele is an American actress best known for her roles in films like "New Jack City" and television series such as "ER" and "Homicide: Life on the Street."
  • B. Michael Christ
    Michael Christ is a mathematician known for his contributions to harmonic analysis and partial differential equations, and for being a student of Elias Stein.
  • C. Michael Patrick Jann
    Michael Patrick Jann is an American film and television director and comedian best known for his work on the cult mockumentary film "Drop Dead Gorgeous" and the sketch comedy series "The State."
  • D. Michael Luciano
    Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
  • E. Michael Joseph
    Michael Joseph is a British publishing imprint of Penguin Books known for producing a wide range of commercial fiction and non-fiction titles.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a74592c8190959af631d72df479 completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.