Triple

T13146010
Position Surface form Disambiguated ID Type / Status
Subject Tran Anh Hung E312334 entity
Predicate awardReceived P11 FINISHED
Object Camera d'Or E13949 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: Camera d'Or | Statement: [Tran Anh Hung, awardReceived, Camera d'Or]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camera d'Or
Context triple: [Tran Anh Hung, awardReceived, Camera d'Or]
  • A. Camera d’Or chosen
    The Caméra d’Or is a prestigious Cannes Film Festival prize awarded to the best first feature film presented across the festival’s selections.
  • B. Le Cam Award
    The Le Cam Award is a prestigious prize in mathematical statistics recognizing outstanding contributions to asymptotic theory and related areas.
  • C. Palme d’Or
    The Palme d’Or is the highest prize awarded at the Cannes Film Festival, recognizing the best feature film in the festival’s official selection.
  • D. Rose d'Or
    The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
  • E. Prix Louis-Delluc
    The Prix Louis-Delluc is a prestigious French film award, often considered the country's equivalent of the Goncourt Prize for cinema, honoring the best French film of the year.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.