Triple
T6067010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to the Multiverse |
E135184
|
entity |
| Predicate | featuresUniverseType |
P63514
|
FINISHED |
| Object | Disney-style animated universe |
—
|
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: Disney-style animated universe | Statement: [Road to the Multiverse, featuresUniverseType, Disney-style animated universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUniverseType Context triple: [Road to the Multiverse, featuresUniverseType, Disney-style animated universe]
-
A.
featuresInUniverseWriter
Indicates that an entity appears as a writer or creator within the fictional universe or setting of another entity.
-
B.
featuresInUniverseDirector
Indicates that a director is responsible for creating or overseeing a fictional universe in which a given work or entity is featured.
-
C.
hasPlanetaryFeatureType
Indicates that an entity possesses or is associated with a specific type of planetary surface or geological feature.
-
D.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
E.
featuresThemeType
chosen
Indicates that something (such as a work, event, or item) has or is characterized by a particular type of theme.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.