Triple
T14784247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Hero 6 (Marvel Comics) |
E347469
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Silver Samurai |
E908949
|
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: Silver Samurai | Statement: [Big Hero 6 (Marvel Comics), member, Silver Samurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Samurai Context triple: [Big Hero 6 (Marvel Comics), member, Silver Samurai]
-
A.
Silver Samurai
chosen
Silver Samurai is a Marvel Comics Japanese mutant and master swordsman, often depicted as a high-tech armored warrior and both adversary and occasional ally of Wolverine.
-
B.
Ronin
Ronin is a 1998 action thriller film directed by John Frankenheimer, best known for its intricate espionage plot and realistic, high-intensity car chases set in France.
-
C.
Samurai Blue
Samurai Blue is the popular nickname for Japan’s national football team and its supporters, symbolizing their team colors and fighting spirit.
-
D.
Saiko
Saiko is the romanized name of Lake Sai, one of the scenic Fuji Five Lakes near Mount Fuji in Japan.
-
E.
Samurai
Samurai is a spinning thrill ride at Thorpe Park in the UK known for its intense, disorienting inversions and high-speed rotations.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d051d9481909e6a5aab6e18b127 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.