Triple
T13541600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan de Bont |
E323397
|
entity |
| Predicate | notableAward |
P11
|
FINISHED |
| Object | Golden Calf Award |
E266170
|
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 Calf Award | Statement: [Jan de Bont, notableAward, Golden Calf Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Calf Award Context triple: [Jan de Bont, notableAward, Golden Calf Award]
-
A.
Golden Calf Awards
chosen
The Golden Calf Awards are the Netherlands’ premier film honors, recognizing outstanding achievements in Dutch cinema.
-
B.
Golden Eagle Award
The Golden Eagle Award is a prestigious Chinese television honor recognizing outstanding achievements in TV acting and production.
-
C.
Blue Ribbon Awards
The Blue Ribbon Awards are prestigious Japanese film honors presented annually by film critics and journalists in Tokyo to recognize outstanding achievements in cinema.
-
D.
Crystal Award
The Crystal Award is a World Economic Forum honor presented to artists and cultural leaders whose work has made a significant impact on improving the state of the world.
-
E.
Son of Golden Turkey Awards
Son of Golden Turkey Awards is a humorous follow-up book by Harry and Michael Medved that continues their tongue-in-cheek celebration of notoriously bad and bizarre films.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.