Triple
T3448577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jury Prize (Un Certain Regard) |
E72736
|
entity |
| Predicate | awardedForSection |
P107
|
FINISHED |
| Object | films selected in Un Certain Regard |
—
|
LITERAL 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: films selected in Un Certain Regard | Statement: [Jury Prize (Un Certain Regard), awardedForSection, films selected in Un Certain Regard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForSection Context triple: [Jury Prize (Un Certain Regard), awardedForSection, films selected in Un Certain Regard]
-
A.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
C.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
divisionTitleAwarded
Indicates that a specific title or championship has been awarded within a particular division.
-
E.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba705d988190b76d905751a337ee |
completed | March 8, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.