Triple

T20313035
Position Surface form Disambiguated ID Type / Status
Subject Peter Rabbit (2018 film) E510303 entity
Predicate editedBy P1954 FINISHED
Object Christian Gazal 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: Christian Gazal | Statement: [Peter Rabbit (2018 film), editedBy, Christian Gazal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Gazal
Context triple: [Peter Rabbit (2018 film), editedBy, Christian Gazal]
  • A. Christian Gazal chosen
    Christian Gazal is a film editor best known for his work on the animated feature "Happy Feet."
  • B. Maalouf
    Maalouf is a Lebanese family name borne by numerous notable figures in literature, music, and public life across the Middle East and diaspora.
  • C. Roschdy Zem
    Roschdy Zem is a French actor and filmmaker known for his versatile performances in both mainstream and arthouse cinema, including acclaimed roles in films like "Days of Glory" and "Outside the Law."
  • D. Paul Misraki
    Paul Misraki was a French composer best known for his prolific film scores and popular songs in mid-20th-century European cinema.
  • E. Kamel Morjane
    Kamel Morjane is a Tunisian diplomat and politician who has served in senior government roles, including as foreign minister, and held leadership positions in international organizations such as the United Nations.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677450ee0819081f02b5e95f40176 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.