Triple

T15962013
Position Surface form Disambiguated ID Type / Status
Subject Tania Raymonde E387084 entity
Predicate notableWork P4 FINISHED
Object Chicago Fire E799663 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: Chicago Fire | Statement: [Tania Raymonde, notableWork, Chicago Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago Fire
Context triple: [Tania Raymonde, notableWork, Chicago Fire]
  • A. 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.
  • 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 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.
  • 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 (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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15700651c819091c1cc4f60894c35 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.