Triple

T13072004
Position Surface form Disambiguated ID Type / Status
Subject No Reservations E329479 entity
Predicate editedBy P1954 FINISHED
Object Pip Karmel E322797 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: Pip Karmel | Statement: [No Reservations, editedBy, Pip Karmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip Karmel
Context triple: [No Reservations, editedBy, Pip Karmel]
  • A. Pip Karmel chosen
    Pip Karmel is an Australian film editor and director best known for her acclaimed editing work on the film "Shine."
  • B. Pip Williams
    Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
  • C. Pip Baker
    Pip Baker was a British television writer best known for co-writing several 1980s Doctor Who serials with his wife Jane Baker.
  • D. Noël Piper
    Noël Piper is an American Christian author and speaker known for her writings on faith, family, and hospitality, and for her long-time ministry partnership with her husband, theologian John Piper.
  • E. Nicky Holroyd
    Nicky Holroyd is a witty, bohemian witch character in the romantic comedy film and play "Bell, Book and Candle," known for her involvement in a magical love entanglement.
  • 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.