Triple

T6965243
Position Surface form Disambiguated ID Type / Status
Subject Guillaume Canet E161471 entity
Predicate familyName P18 FINISHED
Object Canet
Canet is a French surname most notably borne by actor and filmmaker Guillaume Canet.
 E631658 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: Canet | Statement: [Guillaume Canet, familyName, Canet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canet
Context triple: [Guillaume Canet, familyName, Canet]
  • A. Cagne
    The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • D. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • E. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • 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: Canet
Triple: [Guillaume Canet, familyName, Canet]
Generated description
Canet is a French surname most notably borne by actor and filmmaker Guillaume Canet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canet
Target entity description: Canet is a French surname most notably borne by actor and filmmaker Guillaume Canet.
  • A. Cagne
    The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
  • B. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • C. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • D. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • E. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
NEDg Description generation batch_69c75afc74a88190b87284b9a07e8abb completed March 28, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69c75ba456ec81908bd3ab9ade1954d4 completed March 28, 2026, 4:40 a.m.
Created at: March 27, 2026, 2:30 p.m.