Triple

T15199299
Position Surface form Disambiguated ID Type / Status
Subject The Happy Prince E363221 entity
Predicate castMember P1668 FINISHED
Object John Standing E868774 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: John Standing | Statement: [The Happy Prince, castMember, John Standing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Standing
Context triple: [The Happy Prince, castMember, John Standing]
  • A. John Standing chosen
    John Standing is an English actor known for his extensive work in film, television, and theatre, including a role in the dystopian political thriller "V for Vendetta."
  • B. Michael Steadman
    Michael Steadman is a central character on the television drama "thirtysomething," portrayed as a sensitive, idealistic young professional navigating marriage, career, and adulthood in the late 1980s.
  • C. Ben Bilburn
    Ben Bilburn is a music producer known for his work on Chance the Rapper’s debut studio album "The Big Day."
  • D. Jack Steadman
    Jack Steadman is a British musician best known as the lead vocalist and primary songwriter of the indie rock band Bombay Bicycle Club.
  • E. Ken Farmer
    Ken Farmer is a notable individual recognized for his achievements and public prominence in his field.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3363f688190a5c728846bea743a completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.