Triple

T11144876
Position Surface form Disambiguated ID Type / Status
Subject Happy Feet Two E263643 entity
Predicate editor P1954 FINISHED
Object Christian Gazal E901276 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: Christian Gazal | Statement: [Happy Feet Two, editor, Christian Gazal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Gazal
Context triple: [Happy Feet Two, editor, 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. Paul Misraki
    Paul Misraki was a French composer best known for his prolific film scores and popular songs in mid-20th-century European cinema.
  • D. 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.
  • E. Jules Bihari
    Jules Bihari was an American record executive and producer best known as one of the Bihari brothers who helped shape postwar blues and early rock and roll through their work with labels like Modern and Kent Records.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.