Triple
T12397888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Competition |
E296165
|
entity |
| Predicate | festivalSectionStatus |
P44901
|
FINISHED |
| Object | non-competitive sidebar |
—
|
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: non-competitive sidebar | Statement: [Out of Competition, festivalSectionStatus, non-competitive sidebar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalSectionStatus Context triple: [Out of Competition, festivalSectionStatus, non-competitive sidebar]
-
A.
determinesFestival
Indicates that one entity decides, defines, or selects which festival is applicable or will occur for another entity or context.
-
B.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
C.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
D.
hasFestivalContext
Indicates that something is related to, occurs within, or is characterized by the setting, activities, or circumstances of a festival.
-
E.
associatedFilmFestivalSection
chosen
Indicates the specific film festival section or program in which a work is included or with which it is formally linked.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.