Triple

T2638667
Position Surface form Disambiguated ID Type / Status
Subject Célestine Musson E62809 entity
Predicate familyName P18 FINISHED
Object Musson
Musson is a surname of likely French or Belgian origin borne by individuals such as Célestine Musson.
 E284275 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: Musson | Statement: [Célestine Musson, familyName, Musson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Musson
Context triple: [Célestine Musson, familyName, Musson]
  • A. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • B. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Automne
    Automne is a river in northern France that serves as a tributary of the Oise.
  • E. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • 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: Musson
Triple: [Célestine Musson, familyName, Musson]
Generated description
Musson is a surname of likely French or Belgian origin borne by individuals such as Célestine Musson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Musson
Target entity description: Musson is a surname of likely French or Belgian origin borne by individuals such as Célestine Musson.
  • A. Breeze
    Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
  • B. Seabreeze
    Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Automne
    Automne is a river in northern France that serves as a tributary of the Oise.
  • E. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8e470ac8190bd0d6de6805afcd0 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af91c6de008190ad8fb3a3c06472cb completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af9253953c8190a8e18c92d66263cc completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:53 p.m.