Triple

T11475721
Position Surface form Disambiguated ID Type / Status
Subject The Marriage of Figaro E272019 entity
Predicate operaNumberInMozartsOutput P99496 FINISHED
Object first of the Da Ponte trilogy 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: first of the Da Ponte trilogy | Statement: [The Marriage of Figaro, operaNumberInMozartsOutput, first of the Da Ponte trilogy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operaNumberInMozartsOutput
Context triple: [The Marriage of Figaro, operaNumberInMozartsOutput, first of the Da Ponte trilogy]
  • A. estimatedNumberOfOperas
    Indicates the approximate count of operas associated with an entity, rather than an exact, verified number.
  • B. associatedOpera
    Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
  • C. operaAct
    Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
  • D. hasOpusNumber
    Indicates that a musical work is associated with a specific opus number assigned to it, typically denoting its place in a composer’s catalog.
  • E. inOperaRepertoire
    Indicates that a musical work is included as part of the standard or active repertoire performed in opera productions.
  • F. None of above. chosen

Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
PD Predicate disambiguation batch_69d8086ecd6c81908f424864857762d6 completed April 9, 2026, 8:13 p.m.
PDg Predicate description generation batch_69d8279925e4819089210611c0d8e61a completed April 9, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:36 p.m.