Triple

T16163645
Position Surface form Disambiguated ID Type / Status
Subject Good Morning Baltimore E392243 entity
Predicate keyRoleInMusical P21695 FINISHED
Object establishes tone of Hairspray as upbeat and hopeful 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: establishes tone of Hairspray as upbeat and hopeful | Statement: [Good Morning Baltimore, keyRoleInMusical, establishes tone of Hairspray as upbeat and hopeful]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyRoleInMusical
Context triple: [Good Morning Baltimore, keyRoleInMusical, establishes tone of Hairspray as upbeat and hopeful]
  • A. musicalRole
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • B. orchestralRole
    Indicates the specific function or position an entity holds within an orchestra (e.g., conductor, principal violin, section player).
  • C. musicSceneRole
    Indicates the specific function or position an entity holds within a particular music scene or musical community.
  • D. playedInstrument
    Indicates that an entity performed or used a particular musical instrument.
  • E. partOfMusical chosen
    Indicates that something is a component, segment, or element belonging to a larger musical work or performance.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e616770819093f16c88722b2a7d completed April 17, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:02 a.m.