Triple

T20742591
Position Surface form Disambiguated ID Type / Status
Subject The Whitsun Weddings E510479 entity
Predicate precedes P97 FINISHED
Object High Windows 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: High Windows | Statement: [The Whitsun Weddings, precedes, High Windows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Windows
Context triple: [The Whitsun Weddings, precedes, High Windows]
  • A. High Windows chosen
    High Windows is a 1974 poetry collection by Philip Larkin, often regarded as one of his most important and provocative works, marked by its candid treatment of modern life, sexuality, and mortality.
  • B. HighC
    HighC is a computer-assisted music composition system known for its graphical, intuitive interface that lets users draw and manipulate sound directly.
  • C. Hight
    Hight is a music producer and DJ known for collaborating with artists in the electronic and dance-pop scene, including German DJ Felix Jaehn.
  • D. Wysoka
    Wysoka is a village in southern Poland located within the administrative district of Gmina Jordanów in Lesser Poland Voivodeship.
  • E. Wysoka
    Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c210a2c08190bd767df3188bb401 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.