Triple
T10926392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmosis Jones |
E258078
|
entity |
| Predicate | hasAnimatedSegments |
P89846
|
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: [Osmosis Jones, hasAnimatedSegments, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimatedSegments Context triple: [Osmosis Jones, hasAnimatedSegments, true]
-
A.
hasAnimatedSequences
chosen
Indicates that the subject contains or includes one or more animated sequences.
-
B.
hasColorSegments
Indicates that an entity is composed of or divided into distinct parts, each associated with a specific color.
-
C.
isAnimated
Indicates that an entity possesses animation, meaning it is depicted or realized through moving images rather than static or live-action form.
-
D.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
E.
hasNotableSegment
Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709165188190aa30dd08deddade4 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:22 p.m.