Triple

T3519353
Position Surface form Disambiguated ID Type / Status
Subject Rachel Portman E74380 entity
Predicate hasComposedFor P30143 FINISHED
Object orchestra 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: orchestra | Statement: [Rachel Portman, hasComposedFor, orchestra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasComposedFor
Context triple: [Rachel Portman, hasComposedFor, orchestra]
  • A. previouslyComposedOf
    Indicates that something was formerly made up of or constituted by certain parts, elements, or members, but no longer is.
  • B. composedFor chosen
    Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
  • C. hasComposerInResidence
    Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
  • D. compliedWith
    Indicates that one entity has acted in accordance with, or fulfilled the requirements of, another entity’s rules, requests, or standards.
  • E. hasWrittenFor
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc49dea88190924c8abd29aabdad completed March 8, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69adae10689c8190b7dc6d7daa8295b6 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.