Triple

T23440043
Position Surface form Disambiguated ID Type / Status
Subject The Core E565370 entity
Predicate cinematographer P1953 FINISHED
Object John Lindley 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: John Lindley | Statement: [The Core, cinematographer, John Lindley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lindley
Context triple: [The Core, cinematographer, John Lindley]
  • A. John Lindley chosen
    John Lindley is an American cinematographer known for his work on popular films and television series, including the romantic comedy "You've Got Mail."
  • B. John Lindley
    John Lindley was a 19th-century English botanist renowned for his influential work in plant taxonomy and classification.
  • C. Thomas Nuttall
    Thomas Nuttall was a 19th-century English-born American botanist and zoologist known for his extensive exploration and classification of North American flora and fauna.
  • D. Robert Gerarde
    Robert Gerarde is a fictional character from the 1966 musical biographical film "The Singing Nun."
  • E. William Roxburgh
    William Roxburgh was an 18th–19th century Scottish surgeon and botanist, often called the "Father of Indian Botany" for his pioneering work documenting the flora of the Indian subcontinent.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5df28288190936f16b017a20bc0 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.