Triple
T698738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinéfondation |
E13950
|
entity |
| Predicate | selectionFrom |
P16786
|
FINISHED |
| Object | film schools around the world |
—
|
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: film schools around the world | Statement: [Cinéfondation, selectionFrom, film schools around the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionFrom Context triple: [Cinéfondation, selectionFrom, film schools around the world]
-
A.
selectedTo
Indicates that one entity has been chosen or designated from a set of candidates to perform a role, receive something, or participate in an activity in relation to another entity.
-
B.
selectionMadeBy
Indicates that a particular choice or selection was performed or decided by a specific agent or entity.
-
C.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
D.
selectionMethodChangedBy
Indicates that one entity causes or is responsible for a change in the method or criteria used to make a selection.
-
E.
selectFire
Indicates choosing or designating a specific fire source, mode, or target for use or activation.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0dd4afc81909e4e869356006f33 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2586b081908e052cc5ba1d2685 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49dc20880819085fa60dc1851f9dc |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:36 p.m.