Triple
T37163895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VobSub |
E920744
|
entity |
| Predicate | isImageBased |
P105438
|
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: [VobSub, isImageBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isImageBased Context triple: [VobSub, isImageBased, true]
-
A.
isImageOf
Indicates that one entity is a visual depiction or representation of another entity.
-
B.
isFeatureBased
Indicates that one entity is derived from, determined by, or constructed using the characteristics or attributes of another entity.
-
C.
supportsImageBasedDevelopment
chosen
Indicates that one entity enables or facilitates development activities that are driven or guided primarily by images or visual representations.
-
D.
isImageConscious
Indicates that an entity is aware of, concerned with, or actively managing its public image or appearance.
-
E.
hasImageFeature
Indicates that an entity is associated with a specific visual characteristic or attribute extracted from an image.
- 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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.