Triple
T20697373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Wakanda |
E508690
|
entity |
| Predicate | creatorContext |
P141130
|
FINISHED |
| Object | created within Black Panther mythos |
—
|
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: created within Black Panther mythos | Statement: [Queen of Wakanda, creatorContext, created within Black Panther mythos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorContext Context triple: [Queen of Wakanda, creatorContext, created within Black Panther mythos]
-
A.
creatorOfContext
Indicates that one entity is the originator or producer of the surrounding situation, environment, or framework in which another entity exists or operates.
-
B.
creativeContext
Indicates the situational, cultural, or conceptual setting in which a creative work, idea, or action is produced or interpreted.
-
C.
contextType
Indicates the type or category of contextual information associated with an entity or event.
-
D.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
E.
originContext
Indicates the situational or environmental circumstances from which an entity, event, or piece of information originates.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c1132178819081086e085f7b3ff8 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:11 p.m.