Triple

T4663142
Position Surface form Disambiguated ID Type / Status
Subject Lily-Rose Depp E102780 entity
Predicate notableRelative P367 FINISHED
Object Vanessa Paradis E105518 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: Vanessa Paradis | Statement: [Lily-Rose Depp, notableRelative, Vanessa Paradis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanessa Paradis
Context triple: [Lily-Rose Depp, notableRelative, Vanessa Paradis]
  • A. Vanessa Paradis chosen
    Vanessa Paradis is a French singer, actress, and model who gained fame as a teen pop star and later for her long-term relationship with actor Johnny Depp.
  • B. Melanie Thierry
    Melanie Thierry is a French actress and former model known for her roles in both European cinema and international films.
  • C. Sylvie Vartan
    Sylvie Vartan is a Bulgarian-born French pop singer and actress who became one of France’s most popular yé-yé idols in the 1960s.
  • D. Jane Birkin
    Jane Birkin was an English-French actress and singer renowned for her artistic partnership with Serge Gainsbourg and her enduring influence on fashion and popular culture.
  • E. Brigitte Marie-Claude Trogneux
    Brigitte Marie-Claude Trogneux is a French former teacher and the First Lady of France, married to President Emmanuel Macron.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be037c67108190bdae034832dc7b41 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.