Triple
T1952119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T'Challa |
E42180
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Ulysses Klaue |
E210067
|
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: Ulysses Klaue | Statement: [T'Challa, enemy, Ulysses Klaue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulysses Klaue Context triple: [T'Challa, enemy, Ulysses Klaue]
-
A.
Ulysses Klaue
chosen
Ulysses Klaue is a black-market arms dealer and vibranium smuggler in the Marvel Cinematic Universe, known as an enemy of Wakanda and Black Panther.
-
B.
Deckard Shaw
Deckard Shaw is a highly skilled former British military operative turned antihero in the Fast & Furious franchise, known for his lethal efficiency, dry wit, and complex family ties.
-
C.
Red Skull
Red Skull is a notorious Nazi supervillain and archenemy of Captain America in Marvel Comics, known for his red, skull-like face and ruthless pursuit of power.
-
D.
Hawkeye
Hawkeye is a Marvel Cinematic Universe Disney+ series centered on the archer superhero Clint Barton and his protégé Kate Bishop.
-
E.
Clubber Lang
Clubber Lang is the fierce, hard-hitting boxing antagonist portrayed by Mr. T in the film Rocky III.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbc611fc8190b2f512c744cbc364 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.