Triple

T9562639
Position Surface form Disambiguated ID Type / Status
Subject Heaven Can Wait E230710 entity
Predicate hasTitle P38 FINISHED
Object Heaven Can Wait E125976 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: Heaven Can Wait | Statement: [Heaven Can Wait, hasTitle, Heaven Can Wait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heaven Can Wait
Context triple: [Heaven Can Wait, hasTitle, Heaven Can Wait]
  • A. Heaven Can Wait chosen
    Heaven Can Wait is a 1978 romantic fantasy-comedy film, co-directed by and starring Warren Beatty, about a football player mistakenly taken to heaven before his time and given a second chance at life in another body.
  • B. Heaven Can Wait
    Heaven Can Wait is a 1943 romantic fantasy-comedy film directed by Ernst Lubitsch, known for its witty exploration of love, morality, and the afterlife.
  • C. Hell Can Wait
    Hell Can Wait is Vince Staples’ critically acclaimed debut EP, known for its dark, introspective lyrics and gritty West Coast production.
  • D. Tomorrow Can Wait
    "Tomorrow Can Wait" is a dance-pop track best known from the French DJ and producer David Guetta’s 2007 album "Pop Life."
  • E. A Night in Heaven
    A Night in Heaven is a 1983 romantic drama film about a college professor who becomes involved with a young male stripper, blending themes of desire, power, and personal crisis.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9965e7b881909df98e933db38092 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a014a48190925d52967e1fbffe completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:03 p.m.