Triple

T15344835
Position Surface form Disambiguated ID Type / Status
Subject Johanna (Sweeney Todd song) E366888 entity
Predicate firstKnownProduction P85742 FINISHED
Object 1979 Broadway production of Sweeney Todd 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: 1979 Broadway production of Sweeney Todd | Statement: [Johanna (Sweeney Todd song), firstKnownProduction, 1979 Broadway production of Sweeney Todd]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstKnownProduction
Context triple: [Johanna (Sweeney Todd song), firstKnownProduction, 1979 Broadway production of Sweeney Todd]
  • A. firstProducedAt
    Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
  • B. firstProduction chosen
    Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
  • C. firstProductionYear
    Indicates the year in which something (such as a product, work, or item) was first produced.
  • D. firstProducedFor
    Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
  • E. firstMassProductionBy
    Indicates that the subject is the first entity to mass-produce the object or technology referenced.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e163a3c8190ab933411372c1573 completed April 16, 2026, 1:40 a.m.
PD Predicate disambiguation batch_69deca991e5081908b0df3d1ee7d5338 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:17 a.m.