Triple

T342176
Position Surface form Disambiguated ID Type / Status
Subject Diamonds E6857 entity
Predicate fullLengthContext P36 FINISHED
Object third movement of the full-length ballet Jewels 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: third movement of the full-length ballet Jewels | Statement: [Diamonds, fullLengthContext, third movement of the full-length ballet Jewels]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fullLengthContext
Context triple: [Diamonds, fullLengthContext, third movement of the full-length ballet Jewels]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. context chosen
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • C. longTitle
    Indicates that an entity has an extended or full-length title associated with it.
  • D. closureContext
    Indicates the surrounding scope or environment in which an operation, expression, or function is defined and executed, capturing the variables and bindings available to it.
  • E. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eafef8c88190a5932eb2c6ac4a5d completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95197fc8190820e8ebd0d7d27fa completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.