Triple
T9568058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Incredible Mr. Limpet |
E230837
|
entity |
| Predicate | hasLiveActionSequences |
P35284
|
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 Incredible Mr. Limpet, hasLiveActionSequences, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiveActionSequences Context triple: [The Incredible Mr. Limpet, hasLiveActionSequences, true]
-
A.
containsLiveAction
chosen
Indicates that something includes or features live-action content, typically involving real-world footage or live actors rather than solely animation or static media.
-
B.
hasLiveActionVersion
Indicates that an entity has a corresponding adaptation or version produced in live-action (with real actors and physical settings) rather than animation or other non-live formats.
-
C.
hasDanceSequences
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
-
D.
includesActionSequence
Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
-
E.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.