Triple
T17564990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pagemaster |
E427786
|
entity |
| Predicate | mixesLiveActionAndAnimation |
P127988
|
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: [The Pagemaster, mixesLiveActionAndAnimation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixesLiveActionAndAnimation Context triple: [The Pagemaster, mixesLiveActionAndAnimation, true]
-
A.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
-
B.
hasLiveActionFilm
Indicates that a subject has a corresponding live-action film adaptation or representation.
-
C.
hasDanceSceneWith
Indicates that two entities participate together in a dance scene within the same context or work.
-
D.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
-
E.
hasDanceSequences
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.