Triple

T7603277
Position Surface form Disambiguated ID Type / Status
Subject Léon Brillouin E180036 entity
Predicate givenName P17 FINISHED
Object Léon
Léon is a masculine given name of French origin, commonly used in French-speaking countries and derived from the Latin name Leo, meaning "lion."
 E675966 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: Léon | Statement: [Léon Brillouin, givenName, Léon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Léon
Context triple: [Léon Brillouin, givenName, Léon]
  • A. Léon
    Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
  • B. Léon
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • C. Léon: The Professional
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • D. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • E. Joe le taxi
    "Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
  • 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: Léon
Triple: [Léon Brillouin, givenName, Léon]
Generated description
Léon is a masculine given name of French origin, commonly used in French-speaking countries and derived from the Latin name Leo, meaning "lion."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Léon
Target entity description: Léon is a masculine given name of French origin, commonly used in French-speaking countries and derived from the Latin name Leo, meaning "lion."
  • A. Léon
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Léon
    Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
  • C. Léon: The Professional
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • D. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • E. Joe le taxi
    "Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8691bf25881909585bb04404f90da completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8698f70a081909633b3b6d7fd45e1 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:54 p.m.