Triple

T10449842
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Dupaix E246390 entity
Predicate familyName P18 FINISHED
Object Dupaix
Dupaix is a surname most notably associated with Guillermo Dupaix, an early explorer and documenter of Mesoamerican antiquities.
 E863313 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: Dupaix | Statement: [Guillermo Dupaix, familyName, Dupaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dupaix
Context triple: [Guillermo Dupaix, familyName, Dupaix]
  • A. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • B. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • C. Arroux
    Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • D. Daunou
    Daunou is a French surname most notably borne by Pierre-Claude-François Daunou, an influential historian, archivist, and statesman of the French Revolution and Napoleonic era.
  • E. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • 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: Dupaix
Triple: [Guillermo Dupaix, familyName, Dupaix]
Generated description
Dupaix is a surname most notably associated with Guillermo Dupaix, an early explorer and documenter of Mesoamerican antiquities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dupaix
Target entity description: Dupaix is a surname most notably associated with Guillermo Dupaix, an early explorer and documenter of Mesoamerican antiquities.
  • A. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • B. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • C. Arroux
    Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
  • D. Daunou
    Daunou is a French surname most notably borne by Pierre-Claude-François Daunou, an influential historian, archivist, and statesman of the French Revolution and Napoleonic era.
  • E. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c562c081908aae846da8efb1a5 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:17 p.m.