Triple

T20907352
Position Surface form Disambiguated ID Type / Status
Subject Duke Ellington & John Coltrane E514836 entity
Predicate hasTrack P3284 FINISHED
Object Angelica 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: Angelica | Statement: [Duke Ellington & John Coltrane, hasTrack, Angelica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelica
Context triple: [Duke Ellington & John Coltrane, hasTrack, Angelica]
  • A. Angelica
    Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
  • B. Angelica
    Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
  • C. Angelica chosen
    "Angelica" is a jazz composition featured on the 1963 collaborative album by Duke Ellington and John Coltrane, showcasing their distinctive blend of lyrical piano and expressive tenor saxophone.
  • D. Angelica
    Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
  • E. Angelica archangelica
    Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e900ee7881909ab1046b40dca486 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.