Triple

T13071990
Position Surface form Disambiguated ID Type / Status
Subject No Reservations E329479 entity
Predicate title P38 FINISHED
Object No Reservations E329479 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: No Reservations | Statement: [No Reservations, title, No Reservations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Reservations
Context triple: [No Reservations, title, No Reservations]
  • A. No Reservations chosen
    No Reservations is a 2007 romantic comedy-drama film about a perfectionist chef whose life changes when she becomes guardian to her niece and clashes with a carefree sous-chef.
  • B. The One and Only
    The One and Only is a track from Snoop Dogg’s 2002 album "Paid tha Cost to Be da Boss," showcasing his signature West Coast hip hop style and laid-back flow.
  • C. The One and Only
    The One and Only is a film edited by acclaimed British film editor Terry Rawlings, known for his work on major genre-defining movies.
  • D. And Then Some
    "And Then Some" is a popular swing-era song recorded by Ozzie Nelson and His Orchestra.
  • E. The Barefoot Contessa
    The Barefoot Contessa is a 1954 drama film starring Ava Gardner and Humphrey Bogart that explores the rise and tragic fate of a Spanish dancer-turned-Hollywood star.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d606ac6481908d18a288d5eed472 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.