Triple

T12927126
Position Surface form Disambiguated ID Type / Status
Subject Bernardo Gui E309271 entity
Predicate placeOfDeath P21 FINISHED
Object Lauroux
Lauroux is a small commune in the Hérault department of southern France, historically noted as the place where the medieval inquisitor and chronicler Bernard Gui died.
 E1011095 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: Lauroux | Statement: [Bernardo Gui, placeOfDeath, Lauroux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lauroux
Context triple: [Bernardo Gui, placeOfDeath, Lauroux]
  • A. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • B. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • C. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • D. Ledoux
    Ledoux is a French surname most famously associated with Claude Nicolas Ledoux, an influential 18th-century neoclassical architect and urban planner.
  • E. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • 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: Lauroux
Triple: [Bernardo Gui, placeOfDeath, Lauroux]
Generated description
Lauroux is a small commune in the Hérault department of southern France, historically noted as the place where the medieval inquisitor and chronicler Bernard Gui died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lauroux
Target entity description: Lauroux is a small commune in the Hérault department of southern France, historically noted as the place where the medieval inquisitor and chronicler Bernard Gui died.
  • A. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • B. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • C. Lardé
    Lardé is the surname of Alicia Esther Lardé, a Salvadoran-born physicist and the first wife of mathematician John Nash.
  • D. Ledoux
    Ledoux is a French surname most famously associated with Claude Nicolas Ledoux, an influential 18th-century neoclassical architect and urban planner.
  • E. Lassally
    Lassally is a German-origin surname most notably associated with Walter Lassally, an acclaimed cinematographer known for his work in British and Greek cinema.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971eb17c88190bf523da897172a0c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.