Triple
T31602244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney & Pixar Short Film Festival |
E806375
|
entity |
| Predicate | isIndoors |
P8552
|
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: [Disney & Pixar Short Film Festival, isIndoors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIndoors Context triple: [Disney & Pixar Short Film Festival, isIndoors, true]
-
A.
indoorOrOutdoor
chosen
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
C.
indoorOutdoorRelation
Indicates a spatial relationship specifying whether something is located indoors, outdoors, or how it connects indoor and outdoor spaces.
-
D.
hasIndoorArea
Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
-
E.
hasIndoorCounterpart
Indicates that something has a corresponding or equivalent version designed for use indoors.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a86bb67481909a8362799c445010 |
completed | May 3, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:33 p.m.