Triple

T21160160
Position Surface form Disambiguated ID Type / Status
Subject Octopussy (film) score E521417 entity
Predicate titleSongPerformer P23678 FINISHED
Object Rita Coolidge NE NERFINISHED

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: Rita Coolidge | Statement: [Octopussy (film) score, titleSongPerformer, Rita Coolidge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Coolidge
Context triple: [Octopussy (film) score, titleSongPerformer, Rita Coolidge]
  • A. Rita Coolidge chosen
    Rita Coolidge is an American singer known for her smooth pop, country, and adult contemporary hits in the 1970s and 1980s, including songs like "We're All Alone" and "(Your Love Has Lifted Me) Higher and Higher."
  • B. Joan Carlile
    Joan Carlile was a pioneering 17th-century English portrait painter, often regarded as one of the first professional female artists in Britain.
  • C. Betsy Garth
    Betsy Garth is a central character in the Western television series "The Virginian," known for her close connection to the Shiloh Ranch and its core cast.
  • D. Anne Raitt
    Anne Raitt is a British actress best known for her leading role in Mike Leigh’s 1971 film "Bleak Moments."
  • E. Martha Tedeschi
    Martha Tedeschi is an American art historian and museum leader known for her scholarship on works on paper and for heading major art institutions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252f70888190b8e6109cc4099ecc completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.