Triple
T7643922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circle of Life |
E173073
|
entity |
| Predicate | accompaniesScene |
P25756
|
FINISHED |
| Object | presentation of Simba |
—
|
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: presentation of Simba | Statement: [Circle of Life, accompaniesScene, presentation of Simba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accompaniesScene Context triple: [Circle of Life, accompaniesScene, presentation of Simba]
-
A.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
B.
associatedWithGenreScene
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
C.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
D.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
E.
appearsAlongside
chosen
Indicates that two entities are present or occur together in the same context, setting, or instance.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faf13858819095262664e1e04eb7 |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:58 p.m.