Triple

T12449132
Position Surface form Disambiguated ID Type / Status
Subject Win Win E297482 entity
Predicate mainCharacter P1183 FINISHED
Object Mike Flaherty E378209 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: Mike Flaherty | Statement: [Win Win, mainCharacter, Mike Flaherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Flaherty
Context triple: [Win Win, mainCharacter, Mike Flaherty]
  • A. Mike Flaherty chosen
    Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
  • B. John McMullen
    John McMullen was a 19th-century Catholic bishop and civic leader known for his role in establishing educational and religious institutions in the American Midwest.
  • C. Kevin McLaughlin
    Kevin McLaughlin is a literary scholar and translator known for his English translation of Walter Benjamin’s "The Arcades Project."
  • D. Mike Gaffey
    Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
  • E. Michael Maloney
    Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af41f6b88190ba3a0b4d531853d7 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:56 p.m.