Triple
T564879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un Certain Regard |
E13531
|
entity |
| Predicate | parentFestivalType |
P7504
|
FINISHED |
| Object | international film festival |
—
|
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: international film festival | Statement: [Un Certain Regard, parentFestivalType, international film festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentFestivalType Context triple: [Un Certain Regard, parentFestivalType, international film festival]
-
A.
peerFestival
Indicates that two festivals are considered peers, sharing a comparable status, scale, or role within a given context.
-
B.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
C.
parentVariety
Indicates that one variety is the direct parent or source variety from which another variety is derived or developed.
-
D.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
E.
partOfEvent
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a735b2881908293ad21ad41cdd6 |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.