Triple

T3432358
Position Surface form Disambiguated ID Type / Status
Subject Michael J. Fox E72367 entity
Predicate notableWork P4 FINISHED
Object Spin City E182000 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: Spin City | Statement: [Michael J. Fox, notableWork, Spin City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spin City
Context triple: [Michael J. Fox, notableWork, Spin City]
  • A. Spin City chosen
    Spin City is an American television sitcom that follows the hectic professional and personal lives of staffers in the New York City mayor’s office.
  • B. King of Queens
    King of Queens is the 2014 debut studio album by Nigerian singer Yemi Alade, blending Afro-pop and dance music that helped establish her as a leading figure in contemporary African music.
  • C. Talk of the Town
    Talk of the Town is a long-running, signature front-of-the-book section of The New Yorker known for its short, witty, and observational pieces on New York City life and culture.
  • D. Sweetheart City
    Sweetheart City is a romantic nickname for Loveland, Colorado, known for its Valentine’s Day traditions and heart-themed celebrations.
  • E. Paper City
    Paper City is the nickname of Holyoke, Massachusetts, reflecting its historic prominence as a major center of paper manufacturing.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c077d48190bee40795cab3e422 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547b1b3481909646bf36e8461ff4 completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.