Triple

T18493541
Position Surface form Disambiguated ID Type / Status
Subject Heart Food E451879 entity
Predicate notableSong P4 FINISHED
Object The Donor 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: The Donor | Statement: [Heart Food, notableSong, The Donor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Donor
Context triple: [Heart Food, notableSong, The Donor]
  • A. The Donor chosen
    "The Donor" is a track from the project *Heart Food*, likely reflecting its themes through emotionally resonant lyrics and atmospheric production.
  • B. The Blood Donor
    "The Blood Donor" is a famous 1961 episode of the British radio and television comedy series Hancock's Half Hour, best known for Tony Hancock's classic line "A pint? That's very nearly an armful!"
  • C. Donen
    Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
  • D. Donar
    Donar is the Germanic thunder god equivalent to the Norse deity Thor, associated with storms, strength, and protection.
  • E. The Benefactor
    The Benefactor is a mysterious, omnipresent figure in Yevgeny Zamyatin’s dystopian novel *We*, serving as the authoritarian leader and symbolic embodiment of the totalitarian One State.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bf206c8190a146cd1abd752152 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.