Triple

T5193029
Position Surface form Disambiguated ID Type / Status
Subject Lester Young E117200 entity
Predicate hasMannerOfDress P42160 FINISHED
Object porkpie hat and tilted saxophone posture LITERAL FINISHED

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: porkpie hat and tilted saxophone posture | Statement: [Lester Young, hasMannerOfDress, porkpie hat and tilted saxophone posture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMannerOfDress
Context triple: [Lester Young, hasMannerOfDress, porkpie hat and tilted saxophone posture]
  • A. hasDressCode
    Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
  • B. hasGarment chosen
    Indicates that one entity possesses, wears, or is associated with a particular garment.
  • C. traditionalDressVariant
    Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
  • D. coatCharacteristic
    Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
  • E. hasClericalVestments
    Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79efd16c8190b0b16278a00baecd completed March 20, 2026, 4:46 p.m.
PD Predicate disambiguation batch_69bd77b7e8b4819092ec3965e11f2dea completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:46 p.m.