Triple

T10071409
Position Surface form Disambiguated ID Type / Status
Subject Philippe Rousselot E213637 entity
Predicate familyName P18 FINISHED
Object Rousselot
Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
 E839353 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: Rousselot | Statement: [Philippe Rousselot, familyName, Rousselot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rousselot
Context triple: [Philippe Rousselot, familyName, Rousselot]
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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: Rousselot
Triple: [Philippe Rousselot, familyName, Rousselot]
Generated description
Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rousselot
Target entity description: Rousselot is a French surname borne by various notable figures, including acclaimed cinematographer Philippe Rousselot.
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Drouet
    Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
  • C. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29e8617c08190bf4fb02ac40caba3 completed April 5, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d29f20b2f48190906d7e53fb1e5544 completed April 5, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:59 p.m.