Triple

T22193473
Position Surface form Disambiguated ID Type / Status
Subject Theodore Walter Rollins E548489 entity
Predicate notableWork P4 FINISHED
Object Airegin 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: Airegin | Statement: [Theodore Walter Rollins, notableWork, Airegin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airegin
Context triple: [Theodore Walter Rollins, notableWork, Airegin]
  • A. Airegin chosen
    Airegin is a celebrated jazz composition by saxophonist Sonny Rollins, known as a bebop standard frequently performed and recorded by leading jazz musicians.
  • B. Eadhild
    Eadhild was a 10th-century English princess, daughter of King Edward the Elder, who became Queen of West Francia through her marriage to King Hugh the Great.
  • C. Aínsa
    Aínsa is a historic medieval town in northeastern Spain, renowned for its well-preserved old quarter and hilltop castle overlooking the Pyrenees.
  • D. Aire
    Aire is a river in northern France that flows through the Grand Est region and is a tributary of the Aisne River.
  • E. Aire
    Aire is a given name that can be used for individuals of any gender, often chosen for its airy, nature-inspired sound and uniqueness.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae552908190b38c3d765bcfb68a completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.