Triple

T31944897
Position Surface form Disambiguated ID Type / Status
Subject Théâtre Lyrique E815623 entity
Predicate notablePremiere P23247 FINISHED
Object La jolie fille de Perth (Georges Bizet)
La jolie fille de Perth is an opera in four acts by Georges Bizet, based on a Walter Scott novel and notable for its romantic plot and lyrical French style.
E1985088 NE 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: La jolie fille de Perth (Georges Bizet) | Statement: [Théâtre Lyrique, notablePremiere, La jolie fille de Perth (Georges Bizet)]
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: La jolie fille de Perth (Georges Bizet)
Triple: [Théâtre Lyrique, notablePremiere, La jolie fille de Perth (Georges Bizet)]
Generated description
La jolie fille de Perth is an opera in four acts by Georges Bizet, based on a Walter Scott novel and notable for its romantic plot and lyrical French style.

Provenance (5 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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2782830819097212dbb2c9cc496 completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a484aa48190a02fa1d469a1ed15 completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8b0d7b9881909941c614281a6c05 completed June 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8c005eb48190a28f4f07ad7c70af completed June 14, 2026, 11:09 a.m.
Created at: May 1, 2026, 12:06 a.m.