Triple

T20060652
Position Surface form Disambiguated ID Type / Status
Subject Derek Haas E499462 entity
Predicate coCreatorOf P806 FINISHED
Object Chicago Fire 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: Chicago Fire | Statement: [Derek Haas, coCreatorOf, Chicago Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Fire
Context triple: [Derek Haas, coCreatorOf, Chicago Fire]
  • A. Chicago Fire chosen
    Chicago Fire is an American television drama series that follows the personal and professional lives of firefighters and paramedics working at a Chicago firehouse.
  • B. Chicago Fire
    Chicago Fire was a short-lived professional American football franchise that competed in the World Football League during its brief existence in the mid-1970s.
  • C. Chicago Fire
    Chicago Fire is a professional Major League Soccer club based in Chicago, Illinois, known for its early success in both league and cup competitions.
  • D. Chicago P.D.
    Chicago P.D. is an American police procedural television series that follows the uniformed officers and intelligence unit of the Chicago Police Department as they tackle major crimes in the city.
  • E. Blue Bloods
    Blue Bloods is an American police procedural drama series that follows a multigenerational family of New York City law enforcement officers as they navigate crime, justice, and complex personal dynamics.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.