Triple
T698692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caméra d’Or |
E13949
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | Golden Camera |
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: Golden Camera | Statement: [Caméra d’Or, nameMeaning, Golden Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Camera Context triple: [Caméra d’Or, nameMeaning, Golden Camera]
-
A.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
-
B.
Cooke
Cooke is a surname of English origin, often considered a variant spelling of "Cook."
-
C.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
D.
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.
-
E.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcac4e9c8190bb6903916a6624a8 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.