Triple

T22101185
Position Surface form Disambiguated ID Type / Status
Subject Went the Day Well? E546174 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Graham Greene 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: Graham Greene | Statement: [Went the Day Well?, authorOfSourceWork, Graham Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graham Greene
Context triple: [Went the Day Well?, authorOfSourceWork, Graham Greene]
  • A. Graham Greene chosen
    Graham Greene was a prominent 20th-century British novelist and playwright known for his psychologically complex thrillers and explorations of moral and political ambiguity.
  • B. Graham Greene
    Graham Greene is a Canadian First Nations actor acclaimed for his Oscar-nominated supporting role in the film "Dances with Wolves" and numerous performances in film and television.
  • C. Edgar Box
    Edgar Box is the crime-fiction pseudonym under which American writer Gore Vidal published a series of mystery novels in the 1950s.
  • D. Anthony Powell
    Anthony Powell was an acclaimed British costume designer known for his Oscar-winning work on major films and collaborations with prominent directors.
  • E. Anthony Powell
    Anthony Powell was an English novelist best known for his twelve-volume series "A Dance to the Music of Time," a landmark of 20th-century British literature.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.