Triple

T1420596
Position Surface form Disambiguated ID Type / Status
Subject Alexis Carrel E30215 entity
Predicate familyName P18 FINISHED
Object Carrel
Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
 E163815 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: Carrel | Statement: [Alexis Carrel, familyName, Carrel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carrel
Context triple: [Alexis Carrel, familyName, Carrel]
  • A. Carrel Hut
    Carrel Hut is a high-altitude mountain refuge on Ecuador’s Chimborazo volcano, used by climbers as a base for summit attempts.
  • B. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • C. Galerie des Machines
    The Galerie des Machines was a vast iron-and-glass exhibition hall in Paris, renowned in the late 19th century as one of the largest and most impressive engineering structures of its time.
  • D. Collex-Bossy
    Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
  • E. Menetou-Salon
    Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
  • 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: Carrel
Triple: [Alexis Carrel, familyName, Carrel]
Generated description
Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carrel
Target entity description: Carrel is a French surname most notably borne by Alexis Carrel, a Nobel Prize–winning surgeon and biologist.
  • A. Carrel Hut
    Carrel Hut is a high-altitude mountain refuge on Ecuador’s Chimborazo volcano, used by climbers as a base for summit attempts.
  • B. Bachet depot
    Bachet depot is a major tram maintenance and storage facility serving the public transport system in Geneva, Switzerland.
  • C. Galerie des Machines
    The Galerie des Machines was a vast iron-and-glass exhibition hall in Paris, renowned in the late 19th century as one of the largest and most impressive engineering structures of its time.
  • D. Collex-Bossy
    Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
  • E. Menetou-Salon
    Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40764ec8190b85de6befcb20dda completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015f5ad08190aaa0d1063432af2b completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad01f8028881909af95e9f61a17e88 completed March 8, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad02c618c48190abf3e16d9f85e703 completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 7:59 p.m.