Triple

T27288349
Position Surface form Disambiguated ID Type / Status
Subject Claude Lelouch E688542 entity
Predicate notableFor P22 FINISHED
Object directing the film A Man and a Woman
Claude Lelouch is a French film director and screenwriter best known for his romantic drama "A Man and a Woman," which won the Palme d'Or and two Academy Awards in the 1960s.
E1764655 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: directing the film A Man and a Woman | Statement: [Claude Lelouch, notableFor, directing the film A Man and a Woman]
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: directing the film A Man and a Woman
Triple: [Claude Lelouch, notableFor, directing the film A Man and a Woman]
Generated description
Claude Lelouch is a French film director and screenwriter best known for his romantic drama "A Man and a Woman," which won the Palme d'Or and two Academy Awards in the 1960s.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6275714f081908747301e962c8b0b completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12629c63708190b635febbbd8c8fcd completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126ab866e881909878bd2cb8416f3b completed May 24, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a126b50eacc8190921b0ced6ade9fcd completed May 24, 2026, 3:06 a.m.
Created at: April 27, 2026, 11:13 a.m.