Triple

T36800418
Position Surface form Disambiguated ID Type / Status
Subject Ariane et Barbe-bleue E909304 entity
Predicate firstArianePerformer P145418 FINISHED
Object Félice Litvinne
Félice Litvinne was a celebrated late 19th- and early 20th-century French dramatic soprano renowned for her powerful voice and leading roles in the operatic repertoire.
E2201541 NE FINISHED

How this triple was built (3 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: Félice Litvinne | Statement: [Ariane et Barbe-bleue, firstArianePerformer, Félice Litvinne]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Félice Litvinne
Triple: [Ariane et Barbe-bleue, firstArianePerformer, Félice Litvinne]
Generated description
Félice Litvinne was a celebrated late 19th- and early 20th-century French dramatic soprano renowned for her powerful voice and leading roles in the operatic repertoire.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstArianePerformer
Context triple: [Ariane et Barbe-bleue, firstArianePerformer, Félice Litvinne]
  • A. firstMajorBroadcastPerformer
    Indicates that the subject is the earliest or primary performer associated with the first major broadcast of the object.
  • B. firstCrewMember
    Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
  • C. performerOnFirstRecording
    Indicates that an entity performed on the first recording of another entity (such as a work, song, or composition).
  • D. performerOfPremiere chosen
    Indicates that an entity is the performer who gave the first (premiere) performance of a work or event.
  • E. firstAuroraDancer
    Indicates that an entity is the first individual to perform or embody the role of an Aurora Dancer in a given context or sequence.
  • F. None of above.

Provenance (6 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_69f76e7b98888190899b6478a82ad6ae completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5b60948190a936c878173feb90 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3de2da4de481909441554fa6b557b9 completed June 26, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a3df18e24ec81908c22f7eb27b20cd0 completed June 26, 2026, 3:27 a.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:12 p.m.