Triple

T13607573
Position Surface form Disambiguated ID Type / Status
Subject Barber E325104 entity
Predicate hasVariant P455 FINISHED
Object Barbier
Barbier is a French surname and term historically associated with the profession of barbering.
 E1051947 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: Barbier | Statement: [Barber, hasVariant, Barbier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barbier
Context triple: [Barber, hasVariant, Barbier]
  • A. Barbieri
    Barbieri is a surname of Italian origin borne by various notable individuals across fields such as music, sports, and the arts.
  • B. Charvil
    Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
  • C. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • D. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • E. Bidault
    Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
  • 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: Barbier
Triple: [Barber, hasVariant, Barbier]
Generated description
Barbier is a French surname and term historically associated with the profession of barbering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barbier
Target entity description: Barbier is a French surname and term historically associated with the profession of barbering.
  • A. Barbieri
    Barbieri is a surname of Italian origin borne by various notable individuals across fields such as music, sports, and the arts.
  • B. Charvil
    Charvil is a village and civil parish in Berkshire, England, situated close to the town of Twyford.
  • C. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • D. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • E. Bidault
    Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f96280881908bab3af5c80f6d55 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780850ffc8190b41b3ff7ca35494f completed May 3, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69f7849416b88190a0ef9d3e26e7b129 completed May 3, 2026, 5:23 p.m.
Created at: April 9, 2026, 9:50 p.m.