Triple

T3175358
Position Surface form Disambiguated ID Type / Status
Subject Something Wonderful E66451 entity
Predicate basedOnWorkContext P26453 FINISHED
Object musical adaptation of Anna and the King of Siam 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: musical adaptation of Anna and the King of Siam | Statement: [Something Wonderful, basedOnWorkContext, musical adaptation of Anna and the King of Siam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnWorkContext
Context triple: [Something Wonderful, basedOnWorkContext, musical adaptation of Anna and the King of Siam]
  • A. hasWorkContext chosen
    Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
  • B. basedOnProcess
    Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
  • C. basedOnWorkCountryOfOrigin
    Indicates that something is determined or derived from the country of origin of a work.
  • D. laborContext
    Indicates the labor-related circumstances, conditions, or setting within which an action, relationship, or event takes place.
  • E. basedOnEvent
    Indicates that something is derived from, influenced by, or determined in reference to a specific event.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada671e6848190a683eec1519b9268 completed March 8, 2026, 4:40 p.m.
PD Predicate disambiguation batch_69ad9e02677c8190a21d93b1259b2761 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.