Triple

T14001672
Position Surface form Disambiguated ID Type / Status
Subject Rhea Perlman E336839 entity
Predicate notableWork P4 FINISHED
Object Carpool E977375 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: Carpool | Statement: [Rhea Perlman, notableWork, Carpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpool
Context triple: [Rhea Perlman, notableWork, Carpool]
  • A. Carpool chosen
    Carpool is a 1996 American family comedy film about a harried father whose day spirals out of control when his minivan full of kids is taken over by a bumbling robber.
  • B. Vanpool
    Vanpool is a King County Metro ridesharing program that organizes groups of commuters to share a van for their daily trips, reducing costs and traffic congestion.
  • C. The Bus
    The Bus is the nickname of Jerome Bettis, a Hall of Fame NFL running back renowned for his powerful, bruising rushing style with the Pittsburgh Steelers.
  • D. The Bus
    The Bus is the public transportation system serving the Marble Valley region, providing local and regional bus services for residents and visitors.
  • E. The Bus
    The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed06a50819093ddc64f55050689 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca180988190bbfc93bd708688d6 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.