Triple
T16133676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leopard |
E391466
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object | Palme d’Or |
E12908
|
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: Palme d’Or | Statement: [The Leopard, awardReceived, Palme d’Or]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palme d’Or Context triple: [The Leopard, awardReceived, Palme d’Or]
-
A.
Palme d’Or
chosen
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.
-
B.
Rose d'Or
The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
-
C.
Camera d’Or
The Caméra d’Or is a prestigious Cannes Film Festival prize awarded to the best first feature film presented across the festival’s selections.
-
D.
Goldener Bär
Goldener Bär is the German name for the Golden Bear, the top prize awarded for the best film at the Berlin International Film Festival.
-
E.
Golden Lion
The Golden Lion is the top prize awarded for the best film at the prestigious Venice Film Festival.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a039f0c8190a679e16a27f2dbe3 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.