Triple
T30581553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killmonger's Reign in Wakanda |
E778393
|
entity |
| Predicate | narrativeRoleOfKillmonger |
P171721
|
FINISHED |
| Object | usurper of the throne |
—
|
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: usurper of the throne | Statement: [Killmonger's Reign in Wakanda, narrativeRoleOfKillmonger, usurper of the throne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfKillmonger Context triple: [Killmonger's Reign in Wakanda, narrativeRoleOfKillmonger, usurper of the throne]
-
A.
hasKillerProtagonist
Indicates that the main character in a work is a killer or has committed killing as a defining aspect of their role.
-
B.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
C.
roleRelativeToBlackPanther
chosen
Indicates the specific narrative or functional role an entity has in relation to Black Panther (e.g., ally, enemy, family member, or other contextual position).
-
D.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
-
E.
roleInManOnFire
Indicates that an entity has a role or participation in the work titled "Man on Fire."
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 29, 2026, 8:23 p.m.