Triple

T29579254
Position Surface form Disambiguated ID Type / Status
Subject Louis de Funès E753528 entity
Predicate notableWork P4 FINISHED
Object Le Gendarme et les Gendarmettes
Le Gendarme et les Gendarmettes is a 1982 French comedy film, the sixth and final installment in the popular "Gendarme" series and one of the last screen appearances of comedian Louis de Funès.
E1879720 NE FINISHED

How this triple was built (2 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: Le Gendarme et les Gendarmettes | Statement: [Louis de Funès, notableWork, Le Gendarme et les Gendarmettes]
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: Le Gendarme et les Gendarmettes
Triple: [Louis de Funès, notableWork, Le Gendarme et les Gendarmettes]
Generated description
Le Gendarme et les Gendarmettes is a 1982 French comedy film, the sixth and final installment in the popular "Gendarme" series and one of the last screen appearances of comedian Louis de Funès.

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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66d7825c08190953242afe9572940 completed May 2, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a267ea3b7b08190a71aa9cc92c2478c completed June 8, 2026, 8:34 a.m.
NEDg Description generation batch_6a2682d3fa3c81909e0736cb74338f7e completed June 8, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a26883b773081908ee6cad8a66f0251 completed June 8, 2026, 9:15 a.m.
Created at: April 28, 2026, 6:05 p.m.