Triple

T5175328
Position Surface form Disambiguated ID Type / Status
Subject Maud Adams E116783 entity
Predicate name P16 FINISHED
Object Maud Adams E116783 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: Maud Adams | Statement: [Maud Adams, name, Maud Adams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maud Adams
Context triple: [Maud Adams, name, Maud Adams]
  • A. Maud Adams chosen
    Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
  • B. Sela Ward
    Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
  • C. Tilly Foster
    Tilly Foster is a small hamlet in the Town of Southeast in Putnam County, New York, known historically for its former iron mine and rural character.
  • D. Barbara Bach
    Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
  • E. Grace Van Patten
    Grace Van Patten is an American actress known for her nuanced performances in independent films and television series, including notable roles in projects like "The Meyerowitz Stories" and "Nine Perfect Strangers."
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10be32448190a680a551acfb79c5 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:45 p.m.