Triple
T1255695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIPRESCI Prize |
E26984
|
entity |
| Predicate | isNonCommercial |
P24924
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [FIPRESCI Prize, isNonCommercial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCommercial Context triple: [FIPRESCI Prize, isNonCommercial, true]
-
A.
isCommercialPublication
Indicates that the referenced work is a publication produced or distributed for commercial purposes, typically involving sale or profit.
-
B.
hasCommercialFunction
Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
-
C.
isCopyleft
Indicates that the subject is governed by a copyleft license, requiring derivative works to be distributed under the same or compatible licensing terms.
-
D.
nonExclusive
Indicates that the relationship or access is shared among multiple parties and is not limited to a single, exclusive holder.
-
E.
allowsProprietaryDerivativeWorks
Indicates that one party grants permission for others to create and distribute derivative works that may be kept proprietary rather than shared under the same open terms.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bfa726548190911b4022dc1be3c3 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc4a1f048190bd1ddcc4cc3fe057 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.