Triple

T11091828
Position Surface form Disambiguated ID Type / Status
Subject Jean Eustache E262273 entity
Predicate familyName P18 FINISHED
Object Eustache
Eustache is a French surname most notably associated with filmmaker Jean Eustache, a key figure in post–New Wave French cinema.
 E904243 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: Eustache | Statement: [Jean Eustache, familyName, Eustache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eustache
Context triple: [Jean Eustache, familyName, Eustache]
  • A. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of 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. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • 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: Eustache
Triple: [Jean Eustache, familyName, Eustache]
Generated description
Eustache is a French surname most notably associated with filmmaker Jean Eustache, a key figure in post–New Wave French cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eustache
Target entity description: Eustache is a French surname most notably associated with filmmaker Jean Eustache, a key figure in post–New Wave French cinema.
  • A. Cazeneuve
    Cazeneuve is a French surname most notably borne by Bernard Cazeneuve, a prominent French politician and former Prime Minister of 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. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • E. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ec6564819097624195d0cd9093 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.