Triple

T16015815
Position Surface form Disambiguated ID Type / Status
Subject Edward Maurice Charles Marsan E388463 entity
Predicate familyName P18 FINISHED
Object Marsan
Marsan is a French surname borne by various notable individuals, including actors and public figures.
 E1190253 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: Marsan | Statement: [Edward Maurice Charles Marsan, familyName, Marsan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marsan
Context triple: [Edward Maurice Charles Marsan, familyName, Marsan]
  • A. Marsan
    Marsan is a small rural settlement located within the Qakh District of Azerbaijan.
  • B. Marsannay
    Marsannay is a Burgundy wine appellation at the northern end of the Côte de Nuits, known for producing red, white, and rosé wines.
  • C. La Marsa
    La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
  • D. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • E. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • 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: Marsan
Triple: [Edward Maurice Charles Marsan, familyName, Marsan]
Generated description
Marsan is a French surname borne by various notable individuals, including actors and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marsan
Target entity description: Marsan is a French surname borne by various notable individuals, including actors and public figures.
  • A. Marsan
    Marsan is a small rural settlement located within the Qakh District of Azerbaijan.
  • B. Marsannay
    Marsannay is a Burgundy wine appellation at the northern end of the Côte de Nuits, known for producing red, white, and rosé wines.
  • C. La Marsa
    La Marsa is a coastal suburb of Tunis in northern Tunisia, known for its beaches, upscale residential areas, and historic seaside charm.
  • D. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • E. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfb02b208190b961b525a29b02a5 completed May 10, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69ffd8e7b94c819093bc23288900df33 completed May 10, 2026, 1:01 a.m.
Created at: April 10, 2026, 4:55 a.m.