Triple

T35214469
Position Surface form Disambiguated ID Type / Status
Subject Tanx E1016781 entity
Predicate hornArranger P4873 FINISHED
Object Tony Visconti 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: Tony Visconti | Statement: [Tanx, hornArranger, Tony Visconti]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hornArranger
Context triple: [Tanx, hornArranger, Tony Visconti]
  • A. hornComposition
    Indicates the material or substance that an entity’s horn is made of.
  • B. hornPlayer
    Indicates that an entity plays, performs on, or is characterized as a player of a horn instrument in relation to another entity or context.
  • C. musicalArrangement
    Indicates that one entity is an arrangement or adaptation of another musical work.
  • D. orchestralArrangement
    Indicates that one musical work is arranged or adapted specifically for performance by an orchestra.
  • E. hasArranger chosen
    Indicates that one entity serves as the arranger (e.g., musically or structurally) for another entity, such as a work, performance, or composition.
  • F. None of above.

Provenance (3 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_69f76ddf549c8190869d0af076fd2c28 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.