Triple

T10782519
Position Surface form Disambiguated ID Type / Status
Subject Coquette E254361 entity
Predicate screenwriter P2831 FINISHED
Object Sam Taylor E446705 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: Sam Taylor | Statement: [Coquette, screenwriter, Sam Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Taylor
Context triple: [Coquette, screenwriter, Sam Taylor]
  • A. Sam Taylor chosen
    Sam Taylor was an American film director and screenwriter best known for his work during the silent and early sound eras, including collaborations with comedian Harold Lloyd.
  • B. Sam Taylor
    Sam Taylor is a screenwriter best known for co-writing the stoner comedy film "Grandma's Boy."
  • C. Emily Taylor
    Emily Taylor is the central protagonist of the psychological thriller film "Side Effects," around whom the story’s exploration of medication, mental health, and deception revolves.
  • D. Elaine Taylor
    Elaine Taylor is a British former actress known for her film and television work in the 1960s and 1970s and for her long marriage to Canadian actor Christopher Plummer.
  • E. Ian Taylor
    Ian Taylor is a music producer known for his work on Gary Moore’s acclaimed blues-rock album "Still Got the Blues."
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c5618081908f72838ed42ed05c completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84c925088190922b9979cf77d01b completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:17 p.m.