Triple

T23871658
Position Surface form Disambiguated ID Type / Status
Subject Denn alles Fleisch, es ist wie Gras E592743 entity
Predicate orchestralWriting P146975 FINISHED
Object dark orchestral colors 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: dark orchestral colors | Statement: [Denn alles Fleisch, es ist wie Gras, orchestralWriting, dark orchestral colors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orchestralWriting
Context triple: [Denn alles Fleisch, es ist wie Gras, orchestralWriting, dark orchestral colors]
  • A. orchestralArrangement
    Indicates that one musical work is arranged or adapted specifically for performance by an orchestra.
  • B. orchestration
    Indicates the coordination and arrangement of multiple components or processes to work together harmoniously toward a unified outcome.
  • C. orchestralExcerpt
    Indicates that one entity is an excerpt or short passage taken from an orchestral musical work associated with another entity.
  • D. orchestralForces chosen
    Indicates the specific ensemble of instruments and performers required or used to realize a musical work.
  • E. orchestrationFor
    Indicates a relationship where one entity coordinates, arranges, or manages the actions or interactions of another entity or set of entities to achieve a desired outcome.
  • 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_69e25d23a5c88190ae3999c70ca15e08 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cbfe1f948190ad2c0d5bbe0c7240 completed April 29, 2026, 9:14 a.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:14 p.m.