Triple
T14942648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warriors of Virtue |
E372567
|
entity |
| Predicate | liveActionOrAnimated |
P48902
|
FINISHED |
| Object | live-action |
—
|
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: live-action | Statement: [Warriors of Virtue, liveActionOrAnimated, live-action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveActionOrAnimated Context triple: [Warriors of Virtue, liveActionOrAnimated, live-action]
-
A.
liveAction
chosen
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.
liveActionModelFor
Indicates that one entity serves as the live-action (real-world filmed) representation or counterpart of another entity, typically an animated or non-live-action version.
-
D.
includesAnimatedWorks
Indicates that the subject collection or set contains one or more works that are animated.
-
E.
hasInteractiveFilm
Indicates that an entity is associated with, offers, or features an interactive film experience.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:38 a.m.