Triple

T1260549
Position Surface form Disambiguated ID Type / Status
Subject Lazare Carnot E12488 entity
Predicate givenName P17 FINISHED
Object Lazare
Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
 E144229 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: Lazare | Statement: [Lazare Carnot, givenName, Lazare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lazare
Context triple: [Lazare Carnot, givenName, Lazare]
  • A. Lazarus of Bethany
    Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
  • B. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • C. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • 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: Lazare
Triple: [Lazare Carnot, givenName, Lazare]
Generated description
Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lazare
Target entity description: Lazare is a masculine given name of French origin, notably borne by the French mathematician, physicist, and statesman Lazare Carnot.
  • A. Lazarus of Bethany
    Lazarus of Bethany is a New Testament figure whom Jesus famously raised from the dead, symbolizing resurrection and eternal life in Christian tradition.
  • B. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • C. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • D. Nazarenus
    Nazarenus is a Latin term meaning “of Nazareth,” traditionally used in Christian inscriptions and texts to refer to Jesus as “the Nazarene.”
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc503e88190b237210a61228dd8 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93d044bc819091fd0cfa7a957640 completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac9454d3f48190b4a8c7a8280bc6bd completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95da6e7c8190a0a719aa9c9f7a51 completed March 7, 2026, 9:17 p.m.
Created at: March 1, 2026, 7:50 p.m.