Triple

T5577222
Position Surface form Disambiguated ID Type / Status
Subject Athena Grant E146348 entity
Predicate partOf P40 FINISHED
Object 9-1-1 franchise E146345 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: 9-1-1 franchise | Statement: [Athena Grant, partOf, 9-1-1 franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 9-1-1 franchise
Context triple: [Athena Grant, partOf, 9-1-1 franchise]
  • A. 9-1-1 chosen
    9-1-1 is an American procedural drama television series that follows the high-pressure lives of first responders in Los Angeles as they handle emergencies and personal challenges.
  • B. 9-1-1: Lone Star
    9-1-1: Lone Star is an American procedural drama television series that follows a New York firefighter who relocates to Austin, Texas to help rebuild a firehouse while dealing with intense emergency calls and personal challenges.
  • C. Triple 9
    Triple 9 is a 2016 American crime thriller film featuring an ensemble cast in a heist plot involving corrupt police officers and criminals.
  • D. First Alert
    First Alert is a consumer safety brand best known for its smoke alarms, carbon monoxide detectors, and other home safety products.
  • E. Blue Alert
    Blue Alert is a public notification system in the United States used to rapidly disseminate information about suspects who have seriously injured or killed law enforcement officers, aiding in their swift apprehension.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020697fbc8190bd084d7896db3ab8 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02858a2388190a1e8c3efce8b066d completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.