Triple

T18313649
Position Surface form Disambiguated ID Type / Status
Subject Jules Brunet E438695 entity
Predicate familyName P18 FINISHED
Object Brunet
Brunet is a French surname borne by various notable figures in fields such as the military, arts, and politics.
 E1318529 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: Brunet | Statement: [Jules Brunet, familyName, Brunet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brunet
Context triple: [Jules Brunet, familyName, Brunet]
  • A. Redhead
    "Redhead" is a 1959 Broadway musical comedy best known for starring dancer-actress Gwen Verdon and featuring choreography by Bob Fosse.
  • B. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • C. Branco
    Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
  • D. Fitzpatrick
    Fitzpatrick is a common Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • E. Négrette
    Négrette is a dark-skinned French wine grape variety known for producing deeply colored, aromatic red and rosé wines with floral and spicy notes, particularly in the southwest of France.
  • 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: Brunet
Triple: [Jules Brunet, familyName, Brunet]
Generated description
Brunet is a French surname borne by various notable figures in fields such as the military, arts, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brunet
Target entity description: Brunet is a French surname borne by various notable figures in fields such as the military, arts, and politics.
  • A. Redhead
    "Redhead" is a 1959 Broadway musical comedy best known for starring dancer-actress Gwen Verdon and featuring choreography by Bob Fosse.
  • B. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • C. Branco
    Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
  • D. Fitzpatrick
    Fitzpatrick is a common Irish surname of Gaelic origin, historically associated with the Mac Giolla Phádraig clan of Ossory.
  • E. Négrette
    Négrette is a dark-skinned French wine grape variety known for producing deeply colored, aromatic red and rosé wines with floral and spicy notes, particularly in the southwest of France.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021b7e2c81908cd3b6684ab899f6 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4c1d8048190916dcc7146d15bc4 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c66b72a0819081fe77b42060d6de completed May 13, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a03c6f191b081909a0e65fa1d553b82 completed May 13, 2026, 12:33 a.m.
Created at: April 10, 2026, 10:36 a.m.