Triple
T29831272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i/o (In-Side Mix) |
E757519
|
entity |
| Predicate | hasImmersiveVersionOf |
P177568
|
FINISHED |
| Object | Panopticom |
—
|
NE NERFINISHED |
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: Panopticom | Statement: [i/o (In-Side Mix), hasImmersiveVersionOf, Panopticom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmersiveVersionOf Context triple: [i/o (In-Side Mix), hasImmersiveVersionOf, Panopticom]
-
A.
hasImmersionElement
Indicates that something includes or is associated with an element that creates a sense of immersion or deep involvement in an experience.
-
B.
has3DVersion
Indicates that an entity has a corresponding three-dimensional (3D) version or representation.
-
C.
hasVersionIn
Indicates that one entity exists as a specific version or variant within the context, format, or system represented by another entity.
-
D.
isDubVersionOf
Indicates that one audiovisual work is a dubbed version of another, with its original audio replaced by a different language track while preserving the original content.
-
E.
alsoAvailableInVersion
Indicates that the same item, feature, or content is offered in another specified version or edition.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 29, 2026, 5:34 p.m.