Triple

T6591213
Position Surface form Disambiguated ID Type / Status
Subject Gregory Walcott E159361 entity
Predicate notableWork P4 FINISHED
Object The Sugarland Express E123171 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: The Sugarland Express | Statement: [Gregory Walcott, notableWork, The Sugarland Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sugarland Express
Context triple: [Gregory Walcott, notableWork, The Sugarland Express]
  • A. The Sugarland Express chosen
    The Sugarland Express is a 1974 American crime drama road film directed by Steven Spielberg and noted for its blend of suspense, dark humor, and social commentary.
  • B. Have Gun – Will Travel
    Have Gun – Will Travel is a classic American Western television series from the late 1950s and early 1960s that follows the adventures of a sophisticated, gun-for-hire troubleshooter known as Paladin.
  • C. Blue Gillespie
    Blue Gillespie is a Welsh progressive metal band fronted by actor and musician Gareth David-Lloyd.
  • D. Bullitt
    Bullitt is a 1968 action-thriller film starring Steve McQueen, famed for its groundbreaking San Francisco car chase sequence.
  • E. Smokey and the Bandit
    Smokey and the Bandit is a 1977 American action-comedy film about a charismatic trucker and his partner racing to illegally transport beer across state lines while being pursued by a relentless sheriff.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aecc969c81909a6e15ebe8dd3f94 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbb568508190b9da3475d1620ed5 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:55 p.m.