Triple
T9130971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakanda |
E219083
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Okoye |
E199169
|
NE 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: Okoye | Statement: [Wakanda, associatedCharacter, Okoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okoye Context triple: [Wakanda, associatedCharacter, Okoye]
-
A.
Okoye
chosen
Okoye is the fiercely loyal and highly skilled Wakandan warrior who leads the Dora Milaje and serves as one of Black Panther’s closest allies in the Marvel Cinematic Universe.
-
B.
Mandozai
Mandozai is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and surrounding regions.
-
C.
Shuri
Shuri is a historic town on Okinawa Island best known as the former royal capital of the Ryukyu Kingdom and the site of Shuri Castle.
-
D.
Shuri
Shuri is a brilliant Wakandan princess and tech genius in the Marvel Cinematic Universe, known especially for her cutting-edge inventions and support of Black Panther.
-
E.
Quorra
Quorra is a skilled, curious, and rebellious program from the digital world of Tron who serves as Kevin Flynn’s protege and key ally to Sam Flynn in the film "Tron: Legacy."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030aee3cc81908e883c0bc399fb96 |
completed | April 3, 2026, 9:27 p.m. |
Created at: March 30, 2026, 7:18 p.m.