Triple

T13524550
Position Surface form Disambiguated ID Type / Status
Subject Bobby Troup E322985 entity
Predicate notableWork P4 FINISHED
Object Emergency! E587141 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: Emergency! | Statement: [Bobby Troup, notableWork, Emergency!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emergency!
Context triple: [Bobby Troup, notableWork, Emergency!]
  • A. Emergency! chosen
    Emergency! is a 1970s American television drama series that follows the work of Los Angeles County paramedics and firefighters as they respond to medical and rescue emergencies.
  • B. Emergency!
    Emergency! is a groundbreaking 1969 jazz fusion album by the Tony Williams Lifetime that helped pioneer the fusion of jazz, rock, and avant-garde elements.
  • C. Ambulance Disaster
    "Ambulance Disaster" is a notable work by the artist Death and Disaster, likely reflecting their characteristic focus on catastrophic and tragic themes.
  • D. Ambulance
    Ambulance is a 2022 American action-thriller film directed by Michael Bay, centered on a high-speed heist and getaway through Los Angeles.
  • E. Rescue 911
    Rescue 911 is an American reality-based television series that dramatized real-life emergency situations and rescues, hosted by actor William Shatner.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa6ad60819087824e4ac83934ed completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549c016c8190945a185b2bc20689 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.