Triple

T31624963
Position Surface form Disambiguated ID Type / Status
Subject Cain (oratorio) E806996 entity
Predicate hasLibrettoIn P194560 FINISHED
Object German 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: German | Statement: [Cain (oratorio), hasLibrettoIn, German]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLibrettoIn
Context triple: [Cain (oratorio), hasLibrettoIn, German]
  • A. hasLibrettoPublication
    Indicates that a work is associated with a specific published version of its libretto.
  • B. includesLibretto
    Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
  • C. hasLibrettoType
    Indicates the specific type or category of libretto associated with a work or performance.
  • D. hasLibrettoSource
    Indicates that a work’s libretto is based on, adapted from, or derived from a specified source.
  • E. librettoBy
    Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
  • 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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd7b0503a08190ba07338365b6fcc9 completed May 8, 2026, 5:56 a.m.
PD Predicate disambiguation batch_69fd7a9733dc81909199f453c0cc2bc1 completed May 8, 2026, 5:54 a.m.
PDg Predicate description generation batch_69fd7b042a548190b3abe31bc3258278 completed May 8, 2026, 5:56 a.m.
Created at: April 30, 2026, 10:42 p.m.