Triple

T9754640
Position Surface form Disambiguated ID Type / Status
Subject Elissa Knight E236522 entity
Predicate notableRole P22 FINISHED
Object Tia in Cars E236516 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: Tia in Cars | Statement: [Elissa Knight, notableRole, Tia in Cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tia in Cars
Context triple: [Elissa Knight, notableRole, Tia in Cars]
  • A. The Car
    "The Car" is a 2022 studio album by English rock band Arctic Monkeys, noted for its lush orchestration, cinematic atmosphere, and introspective songwriting.
  • B. Carros
    Carros is a commune in southeastern France situated in the Alpes-Maritimes department near Nice on the French Riviera.
  • C. Car 99
    Car 99 is a 1935 American crime drama film starring Fred MacMurray as a member of a state highway patrol.
  • D. Cars (franchise) chosen
    Cars (franchise) is a popular animated media and merchandise franchise created by Pixar and Disney, centered on anthropomorphic vehicles and best known for its feature films, spin-offs, and extensive toy lines.
  • E. Cars (video game)
    Cars (video game) is a racing and adventure title based on Pixar's animated film "Cars," allowing players to control characters like Lightning McQueen in story-driven and competitive driving events.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b02ff0f4819080410d4e7e809a24 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.