Triple
T33506328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bodil Award for Best Actor in a Supporting Role |
E858120
|
entity |
| Predicate | oneOfOldestFilmAwardsIn |
P177048
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Bodil Award for Best Actor in a Supporting Role, oneOfOldestFilmAwardsIn, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestFilmAwardsIn Context triple: [Bodil Award for Best Actor in a Supporting Role, oneOfOldestFilmAwardsIn, Europe]
-
A.
oneOfOldestScientificPrizesIn
Indicates that something is among the oldest scientific prizes within a specified place or context.
-
B.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
isEarlyAcademyAwardWinner
Indicates that an entity has received an Academy Award during the early years of the award's history.
-
E.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
- F. None of above. chosen
Provenance (4 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:38 a.m.