Triple
T8552158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samurai Shodown |
E202468
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Galford
Galford is a popular American ninja character from SNK’s Samurai Shodown fighting game series, known for fighting alongside his loyal dog Poppy.
|
E741490
|
NE FINISHED |
How this triple was built (4 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: Galford | Statement: [Samurai Shodown, notableCharacter, Galford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galford Context triple: [Samurai Shodown, notableCharacter, Galford]
-
A.
Glanford
Glanford was a former local government district in Lincolnshire, England, that was abolished in the 1990s local government reorganization.
-
B.
Golborne
Golborne is a neighborhood in the Royal Borough of Kensington and Chelsea in West London, known for its diverse community and vibrant Golborne Road market.
-
C.
Golborne
Golborne is a town in the Metropolitan Borough of Wigan in Greater Manchester, England, historically part of Lancashire.
-
D.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
E.
Barrasford
Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Galford Triple: [Samurai Shodown, notableCharacter, Galford]
Generated description
Galford is a popular American ninja character from SNK’s Samurai Shodown fighting game series, known for fighting alongside his loyal dog Poppy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galford Target entity description: Galford is a popular American ninja character from SNK’s Samurai Shodown fighting game series, known for fighting alongside his loyal dog Poppy.
-
A.
Glanford
Glanford was a former local government district in Lincolnshire, England, that was abolished in the 1990s local government reorganization.
-
B.
Golborne
Golborne is a neighborhood in the Royal Borough of Kensington and Chelsea in West London, known for its diverse community and vibrant Golborne Road market.
-
C.
Golborne
Golborne is a town in the Metropolitan Borough of Wigan in Greater Manchester, England, historically part of Lancashire.
-
D.
Cosford
Cosford is a village in Shropshire, England, best known for its close association with RAF Cosford and the Royal Air Force Museum Cosford.
-
E.
Barrasford
Barrasford is a small village in Northumberland, England, situated in the Tyne Valley and known for its rural setting and proximity to Hadrian’s Wall.
- F. None of above. chosen
Provenance (5 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc7f6fc8190addd5d2bbe1f4408 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6f3f40708190a351600ec9f12ee4 |
completed | April 2, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce703b74f8819093bda2d3e59f7e94 |
completed | April 2, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:19 p.m.