Triple

T9644805
Position Surface form Disambiguated ID Type / Status
Subject Jason Mitchell E233166 entity
Predicate appearedInTelevisionSeries P26455 FINISHED
Object Detroiters E787858 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: Detroiters | Statement: [Jason Mitchell, appearedInTelevisionSeries, Detroiters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Detroiters
Context triple: [Jason Mitchell, appearedInTelevisionSeries, Detroiters]
  • A. Detroiters chosen
    Detroiters is an American comedy television series that follows two inept but enthusiastic best friends running a small advertising agency in Detroit.
  • B. Detroiter
    Detroiter is the marketing name used for the Stinson SM-1 Detroiter, an early American light transport aircraft from the late 1920s.
  • C. Detroit
    Detroit is a major U.S. city in Michigan known historically as the center of the American automotive industry and for its influential contributions to music, particularly Motown.
  • D. Downriver Detroit
    Downriver Detroit is a suburban industrial and residential region south of Detroit along the Detroit River, encompassing several working-class communities.
  • E. Downtown Detroit
    Downtown Detroit is the central business district and cultural core of Detroit, Michigan, known for its skyscrapers, sports arenas, theaters, and revitalized riverfront.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.