Triple

T1615364
Position Surface form Disambiguated ID Type / Status
Subject Aimable Pélissier E34704 entity
Predicate familyName P18 FINISHED
Object Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
 E183958 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: Pélissier | Statement: [Aimable Pélissier, familyName, Pélissier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pélissier
Context triple: [Aimable Pélissier, familyName, Pélissier]
  • A. 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.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • D. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Pélissier
Triple: [Aimable Pélissier, familyName, Pélissier]
Generated description
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pélissier
Target entity description: Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • A. 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.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Choully
    Choully is a small wine-producing village in the commune of Satigny in the canton of Geneva, Switzerland.
  • D. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9099049e0819099763ecb09fb4f57 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c6d7e88190b9fc0e34a007a2f5 completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad5a165434819097dc861a840a5f5f completed March 8, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ac1a0308190bd51ae91e10fd8d7 completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.