Triple
T31516509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everett K. Ross |
E804085
|
entity |
| Predicate | roleRelativeToBlackPanther |
P171721
|
FINISHED |
| Object | government handler |
—
|
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: government handler | Statement: [Everett K. Ross, roleRelativeToBlackPanther, government handler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleRelativeToBlackPanther Context triple: [Everett K. Ross, roleRelativeToBlackPanther, government handler]
-
A.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
B.
roleInAgeOfUltron
Indicates that an entity has a specific role or participation in the context of "Age of Ultron" (e.g., the film or storyline).
-
C.
roleInTheIncredibleHulk
Indicates that an entity played a specific role or had a particular involvement in the production of "The Incredible Hulk."
-
D.
roleInAvengers
Indicates that an entity has a specific role or membership status within the Avengers team.
-
E.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
- 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a25863648190867b5ad86681fee2 |
completed | May 3, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:53 p.m.