Triple

T2052264
Position Surface form Disambiguated ID Type / Status
Subject Jacques François Dugommier E45595 entity
Predicate alsoKnownAs P39 FINISHED
Object Dugommier
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
 E230492 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: Dugommier | Statement: [Jacques François Dugommier, alsoKnownAs, Dugommier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dugommier
Context triple: [Jacques François Dugommier, alsoKnownAs, Dugommier]
  • A. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • 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. Thomazeau
    Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • 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: Dugommier
Triple: [Jacques François Dugommier, alsoKnownAs, Dugommier]
Generated description
Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dugommier
Target entity description: Dugommier was a French Revolutionary general noted for his leadership in key campaigns such as the Siege of Toulon and the War of the Pyrenees.
  • A. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • 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. Thomazeau
    Thomazeau is a commune in Haiti known for its rural character and location near the country's western border with the Dominican Republic.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99078d88190bc30fa4596f0bae8 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2719acbc819081705bc0449a5995 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28275d148190aecf81bc7cc7cf3a completed March 9, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae2889503c8190bc72e786c656edf3 completed March 9, 2026, 1:55 a.m.
Created at: March 4, 2026, 7:39 p.m.