Triple

T16147896
Position Surface form Disambiguated ID Type / Status
Subject Jeff Hephner E391834 entity
Predicate notableWork P4 FINISHED
Object Chicago P.D. E163932 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 P.D. | Statement: [Jeff Hephner, notableWork, Chicago P.D.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicago P.D.
Context triple: [Jeff Hephner, notableWork, Chicago P.D.]
  • A. Chicago P.D. chosen
    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.
  • B. Chicago Fire
    Chicago Fire is an American television drama series that follows the personal and professional lives of firefighters and paramedics working at a Chicago firehouse.
  • 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 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.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a7dc3481909f933acd72d6feff completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.