Triple

T19585937
Position Surface form Disambiguated ID Type / Status
Subject Ian McEwan E490104 entity
Predicate notableWork P4 FINISHED
Object Enduring Love 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: Enduring Love | Statement: [Ian McEwan, notableWork, Enduring Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enduring Love
Context triple: [Ian McEwan, notableWork, Enduring Love]
  • A. Enduring Love chosen
    Enduring Love is a 2004 British psychological drama film, based on Ian McEwan’s novel, that explores obsession and trauma following a tragic ballooning accident.
  • B. Atonement
    Atonement is the Christian theological concept describing how Jesus Christ’s life, death, and resurrection reconcile humanity with God and address the problem of sin.
  • C. Atonement
    "Atonement" is an instrumental track from the Season 5 soundtrack of the television series Game of Thrones, composed by Ramin Djawadi.
  • D. Never Let Me Go
    "Never Let Me Go" is a dance-pop song by Brazilian DJ and producer Bruno Martini, known for its melodic hooks and electronic production.
  • E. Never Let Me Go
    Never Let Me Go is a dystopian science fiction novel by Kazuo Ishiguro that explores themes of memory, identity, and the ethics of human cloning through the lives of children raised at a mysterious English boarding school.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640513134819082cf233fa3dcc911 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.