Triple
T35970585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Courtenay |
E1040273
|
entity |
| Predicate | receivedAwardAtEvent |
P49170
|
FINISHED |
| Object | 65th Berlin International Film Festival |
—
|
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: 65th Berlin International Film Festival | Statement: [Tom Courtenay, receivedAwardAtEvent, 65th Berlin International Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAwardAtEvent Context triple: [Tom Courtenay, receivedAwardAtEvent, 65th Berlin International Film Festival]
-
A.
receivedAwardIn
Indicates that an entity was given or obtained a specific award in a particular place or context.
-
B.
awardEvent
Indicates an event in which an award is formally given or presented to a recipient.
-
C.
awardGivenAt
chosen
Indicates that an award was conferred at a specific event, location, or occasion.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
- F. None of above.
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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:07 p.m.