Triple

T5317210
Position Surface form Disambiguated ID Type / Status
Subject Philip Larkin E121580 entity
Predicate notableWork P4 FINISHED
Object All What Jazz
All What Jazz is a collection of jazz criticism and essays by English poet and critic Philip Larkin.
 E510483 NE FINISHED

How this triple was built (4 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: All What Jazz | Statement: [Philip Larkin, notableWork, All What Jazz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All What Jazz
Context triple: [Philip Larkin, notableWork, All What Jazz]
  • A. Victoires du Jazz
    Victoires du Jazz is a major French music award ceremony dedicated to recognizing outstanding achievements in jazz.
  • B. Jazz Police
    "Jazz Police" is a darkly humorous, jazz-inflected song by Leonard Cohen from his 1988 album *I'm Your Man*, blending sardonic lyrics with an offbeat, experimental arrangement.
  • C. Jazz à Juan
    Jazz à Juan is a renowned annual jazz festival held on the French Riviera that attracts leading international jazz musicians and enthusiasts.
  • D. Jazzman
    "Jazzman" is a 1974 pop-jazz single by Carole King, noted for its saxophone-driven arrangement and tribute to the emotional power of jazz music.
  • E. The Light Blues
    The Light Blues is a common nickname for Rangers F.C., one of Scotland’s most successful and historically significant football clubs based in Glasgow.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: All What Jazz
Triple: [Philip Larkin, notableWork, All What Jazz]
Generated description
All What Jazz is a collection of jazz criticism and essays by English poet and critic Philip Larkin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: All What Jazz
Target entity description: All What Jazz is a collection of jazz criticism and essays by English poet and critic Philip Larkin.
  • A. Victoires du Jazz
    Victoires du Jazz is a major French music award ceremony dedicated to recognizing outstanding achievements in jazz.
  • B. Jazz Police
    "Jazz Police" is a darkly humorous, jazz-inflected song by Leonard Cohen from his 1988 album *I'm Your Man*, blending sardonic lyrics with an offbeat, experimental arrangement.
  • C. Jazz à Juan
    Jazz à Juan is a renowned annual jazz festival held on the French Riviera that attracts leading international jazz musicians and enthusiasts.
  • D. Jazzman
    "Jazzman" is a 1974 pop-jazz single by Carole King, noted for its saxophone-driven arrangement and tribute to the emotional power of jazz music.
  • E. The Light Blues
    The Light Blues is a common nickname for Rangers F.C., one of Scotland’s most successful and historically significant football clubs based in Glasgow.
  • F. None of above. chosen

Provenance (5 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1111f104819094d7646dec32fad2 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11a601c481908a8cb6ea2c04d6df completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf127799208190a47580ed7b9ad550 completed March 21, 2026, 9:49 p.m.
Created at: March 20, 2026, 1:59 p.m.