Triple

T21976353
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Béart E542713 entity
Predicate familyName P18 FINISHED
Object Béart
Béart is a French surname most notably associated with acclaimed actress Emmanuelle Béart.
E1510788 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: Béart | Statement: [Emmanuelle Béart, familyName, Béart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Béart
Context triple: [Emmanuelle Béart, familyName, Béart]
  • A. Bégearss
    Bégearss is a scheming, manipulative revolutionary and central antagonist in the opera "The Ghosts of Versailles," loosely based on a character from Beaumarchais’s Figaro plays.
  • B. Beselga
    Beselga is a civil parish located in the municipality of Penedono in Portugal.
  • C. Bleibuir
    Bleibuir is a village and district of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Byaelva
    Byaelva is a river located in the Innherad district of Trøndelag county in central Norway.
  • E. Aornos
    Aornos was a formidable mountain stronghold in ancient Pakistan, famously besieged and captured by Alexander the Great during his campaign in the Indian subcontinent.
  • 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: Béart
Triple: [Emmanuelle Béart, familyName, Béart]
Generated description
Béart is a French surname most notably associated with acclaimed actress Emmanuelle Béart.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Béart
Target entity description: Béart is a French surname most notably associated with acclaimed actress Emmanuelle Béart.
  • A. Bégearss
    Bégearss is a scheming, manipulative revolutionary and central antagonist in the opera "The Ghosts of Versailles," loosely based on a character from Beaumarchais’s Figaro plays.
  • B. Beselga
    Beselga is a civil parish located in the municipality of Penedono in Portugal.
  • C. Bleibuir
    Bleibuir is a village and district of the town of Mechernich in the Euskirchen district of North Rhine-Westphalia, Germany.
  • D. Byaelva
    Byaelva is a river located in the Innherad district of Trøndelag county in central Norway.
  • E. Aornos
    Aornos was a formidable mountain stronghold in ancient Pakistan, famously besieged and captured by Alexander the Great during his campaign in the Indian subcontinent.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124886418819091daed0988432350 completed April 28, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a671c83d481909622c67861096716 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67d2d0e48190ae4acdc2de1371e7 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68846fb88190bbe1510608aa9468 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:03 p.m.