Triple

T20426619
Position Surface form Disambiguated ID Type / Status
Subject Samuel Beckett E501016 entity
Predicate notableWork P4 FINISHED
Object Texts for Nothing 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: Texts for Nothing | Statement: [Samuel Beckett, notableWork, Texts for Nothing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texts for Nothing
Context triple: [Samuel Beckett, notableWork, Texts for Nothing]
  • A. Texts for Nothing chosen
    Texts for Nothing is a collection of thirteen short prose pieces by Samuel Beckett that explore fragmented consciousness and existential uncertainty in a minimalist, experimental style.
  • B. "Speaking of Nothing"
    "Speaking of Nothing" is a philosophical work by Keith Donnellan that explores issues in the philosophy of language, particularly reference and the use of empty terms.
  • C. Everything and Nothing
    "Everything and Nothing" is a song featured on the soundtrack of the film *The Twilight Saga: Breaking Dawn – Part 2*.
  • D. Short Side of Nothing
    Short Side of Nothing is a song by the American rock band Kiko.
  • E. Nothing from Nothing
    "Nothing from Nothing" is a 1974 funk-influenced soul hit by Billy Preston that became one of his signature songs and a major chart success.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba86ed88190bf2d4448d2abcdc7 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.