Triple

T14081212
Position Surface form Disambiguated ID Type / Status
Subject Take It to the Limit E338872 entity
Predicate hasPart P35 FINISHED
Object Heaven Sent E733253 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 Sent | Statement: [Take It to the Limit, hasPart, Heaven Sent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heaven Sent
Context triple: [Take It to the Limit, hasPart, Heaven Sent]
  • A. Heaven Sent
    "Heaven Sent" is a critically acclaimed 2015 Doctor Who episode featuring the Twelfth Doctor trapped in a mysterious shifting castle, widely praised for its psychological depth and Peter Capaldi’s solo performance.
  • B. Heaven Sent
    "Heaven Sent" is a soulful R&B ballad by American singer Keyshia Cole that became one of her signature hits in the late 2000s.
  • C. Heaven Sent chosen
    "Heaven Sent" is a popular trip hop-influenced song by Canadian singer-songwriter Esthero, known for its atmospheric production and soulful vocals.
  • D. Heaven Bound
    "Heaven Bound" is a song by the British funk and soul band Masterjam, known for its uplifting groove and dancefloor-friendly sound.
  • E. Why Wait for Heaven
    "Why Wait for Heaven" is a song by the musical duo Wendy & Lisa featured on their album *Eroica*.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6749c3c81909833a0b6ddcae3fb completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.