Triple

T8855088
Position Surface form Disambiguated ID Type / Status
Subject Léonore Baulac E210736 entity
Predicate familyName P18 FINISHED
Object Baulac
Baulac is a French surname most notably associated with Léonore Baulac, a principal dancer of the Paris Opera Ballet.
 E762548 NE FINISHED

How this triple was built (4 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: Baulac | Statement: [Léonore Baulac, familyName, Baulac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baulac
Context triple: [Léonore Baulac, familyName, Baulac]
  • A. Bourkika
    Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
  • B. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • C. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • D. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • E. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Baulac
Triple: [Léonore Baulac, familyName, Baulac]
Generated description
Baulac is a French surname most notably associated with Léonore Baulac, a principal dancer of the Paris Opera Ballet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baulac
Target entity description: Baulac is a French surname most notably associated with Léonore Baulac, a principal dancer of the Paris Opera Ballet.
  • A. Bourkika
    Bourkika is a town and commune in northern Algeria, situated within the coastal Tipaza Province west of Algiers.
  • B. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • C. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • D. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • E. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • F. None of above. chosen

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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c7f51881909c847989f31f203a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09e6d388190ba8f5d8516b43bc4 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa246ade0819097fe80a77f32592b completed April 3, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_69cfa2c4833c8190b67c4545af056292 completed April 3, 2026, 11:21 a.m.
Created at: March 30, 2026, 6:49 p.m.