Triple

T12729121
Position Surface form Disambiguated ID Type / Status
Subject Lynn Fontanne E304184 entity
Predicate workedWith P398 FINISHED
Object Noël Coward E179869 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: Noël Coward | Statement: [Lynn Fontanne, workedWith, Noël Coward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noël Coward
Context triple: [Lynn Fontanne, workedWith, Noël Coward]
  • A. Noël Coward chosen
    Noël Coward was a 20th-century English playwright, composer, director, actor, and wit, renowned for his sophisticated comedies of manners and sharp, urbane dialogue.
  • B. Noel Gay
    Noel Gay was a British composer best known for his popular songs and hit West End musicals in the 1930s and 1940s.
  • C. Sidney Clive
    Sidney Clive was a member of the prominent British Clive family, historically associated with political influence and colonial-era service.
  • D. Ivor Novello
    Ivor Novello was a Welsh composer, singer, and actor of the early 20th century, renowned for his popular songs and musical theatre works in Britain.
  • E. Anthony Newley
    Anthony Newley was a British actor, singer, and songwriter known for his work in musical theatre and for co-writing songs such as those in the film "Willy Wonka & the Chocolate Factory."
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8a4b7c8190a514b623a7364fd7 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.