Triple

T21812156
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Cassel E538501 entity
Predicate birthName P65 FINISHED
Object Jean-Pierre Crochon
Jean-Pierre Crochon, better known as Jean-Pierre Cassel, was a French actor celebrated for his roles in films by directors such as Luis Buñuel and Claude Chabrol during the 1960s and 1970s.
E2285380 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: Jean-Pierre Crochon | Statement: [Jean-Pierre Cassel, birthName, Jean-Pierre Crochon]
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: Jean-Pierre Crochon
Triple: [Jean-Pierre Cassel, birthName, Jean-Pierre Crochon]
Generated description
Jean-Pierre Crochon, better known as Jean-Pierre Cassel, was a French actor celebrated for his roles in films by directors such as Luis Buñuel and Claude Chabrol during the 1960s and 1970s.

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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a45e4b938588190aa9cd524635fd083 completed July 2, 2026, 4:10 a.m.
NEDg Description generation batch_6a45eac1bde88190a366d8eaa38b89c6 completed July 2, 2026, 4:36 a.m.
NED2 Entity disambiguation (via description) batch_6a45eb7685d48190af5a26b894c84c9f completed July 2, 2026, 4:39 a.m.
Created at: April 16, 2026, 6:53 p.m.