Triple

T23103189
Position Surface form Disambiguated ID Type / Status
Subject Princess Mia E576088 entity
Predicate relative P37 FINISHED
Object Philippe Renaldo NE NERFINISHED

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: Philippe Renaldo | Statement: [Princess Mia, relative, Philippe Renaldo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Renaldo
Context triple: [Princess Mia, relative, Philippe Renaldo]
  • A. Philippe Leonelli
    Philippe Leonelli is a French local politician who serves as the mayor of the Mediterranean coastal town of Cavalaire-sur-Mer.
  • B. Philippe Renaldi chosen
    Philippe Renaldi is the royal father of Mia Thermopolis in "The Princess Diaries," serving as the late Crown Prince whose legacy propels her unexpected journey into princesshood.
  • C. Juan Laporte
    Juan Laporte is a former Puerto Rican professional boxer and WBC featherweight champion known for his toughness and for facing many of the top fighters of his era.
  • D. Anthony Pelissier
    Anthony Pelissier was a British actor, screenwriter, and film director known for his work in mid-20th-century British cinema, including contributions to Ealing Studios.
  • E. Bruno Lavaine
    Bruno Lavaine is a French screenwriter and filmmaker known for co-writing and directing popular French comedies, including the adaptation of Frédéric Beigbeder’s novel "99 francs."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deaacbc8190a97e64e1cf39cdd6 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.