Triple

T16540036
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Brune E401796 entity
Predicate familyName P18 FINISHED
Object Brune
Brune is a French surname most notably borne by Guillaume Brune, a Marshal of France during the Napoleonic era.
 E1219596 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: Brune | Statement: [Guillaume Brune, familyName, Brune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brune
Context triple: [Guillaume Brune, familyName, Brune]
  • A. Nairai
    Nairai is an island in Fiji’s Lomaiviti archipelago, known for its rural villages, traditional Fijian culture, and surrounding coral reefs.
  • B. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • C. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • D. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • E. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • 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: Brune
Triple: [Guillaume Brune, familyName, Brune]
Generated description
Brune is a French surname most notably borne by Guillaume Brune, a Marshal of France during the Napoleonic era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brune
Target entity description: Brune is a French surname most notably borne by Guillaume Brune, a Marshal of France during the Napoleonic era.
  • A. Nairai
    Nairai is an island in Fiji’s Lomaiviti archipelago, known for its rural villages, traditional Fijian culture, and surrounding coral reefs.
  • B. Nitibe
    Nitibe is an administrative post and rural area within the Oecusse exclave of Timor-Leste, known for its coastal and agricultural communities.
  • C. Bisa
    Bisa is a Gur (Voltaic) language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • D. Heinsius
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • E. Ozinga
    Ozinga is a Dutch surname most notably associated with individuals such as Sjoukje Ozinga.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455bd43c8190b01560d4af55a9e0 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ae169c81909a123b7dfe3fd906 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00684197b08190b53d7c1efbd3edd0 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0068fa85448190aef06ff27fe16305 completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.