Triple

T12442741
Position Surface form Disambiguated ID Type / Status
Subject Vernon Bellecourt E297316 entity
Predicate familyName P18 FINISHED
Object Bellecourt
Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
E1008980 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: Bellecourt | Statement: [Vernon Bellecourt, familyName, Bellecourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellecourt
Context triple: [Vernon Bellecourt, familyName, Bellecourt]
  • A. Bessancourt
    Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • 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: Bellecourt
Triple: [Vernon Bellecourt, familyName, Bellecourt]
Generated description
Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bellecourt
Target entity description: Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
  • A. Bessancourt
    Bessancourt is a small suburban commune in the Val-d'Oise department in the Île-de-France region of northern France, forming part of the northwestern outskirts of Paris.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • D. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • E. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8fd9848190a83410353d88ea8d completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a535943081909f893b2be006cc28 completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a724e414819081c95b0d4ac0da25 completed May 3, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7def4bc8190836ad781a4a28456 completed May 3, 2026, 1:41 a.m.
Created at: April 8, 2026, 9:55 p.m.