Triple
T8413203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contra: Hard Corps |
E198670
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Browny
Browny is a small, agile combat robot character from the run-and-gun video game Contra: Hard Corps, known for his high mobility and unique weaponry.
|
E732883
|
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: Browny | Statement: [Contra: Hard Corps, hasCharacter, Browny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Browny Context triple: [Contra: Hard Corps, hasCharacter, Browny]
-
A.
Base Brown
Base Brown is a fell in England's Lake District, popular with hikers for its views over Borrowdale and the surrounding Central Fells.
-
B.
Coaty
Coaty is the official mascot of the NBA G League team Delaware Blue Coats, typically depicted as a lively, team-branded character that entertains fans at games and events.
-
C.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
D.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
E.
Barcy
Barcy is a small French commune located in the Île-de-France region, within the administrative area of Mitry-Mory in the Seine-et-Marne department.
- 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: Browny Triple: [Contra: Hard Corps, hasCharacter, Browny]
Generated description
Browny is a small, agile combat robot character from the run-and-gun video game Contra: Hard Corps, known for his high mobility and unique weaponry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Browny Target entity description: Browny is a small, agile combat robot character from the run-and-gun video game Contra: Hard Corps, known for his high mobility and unique weaponry.
-
A.
Base Brown
Base Brown is a fell in England's Lake District, popular with hikers for its views over Borrowdale and the surrounding Central Fells.
-
B.
Coaty
Coaty is the official mascot of the NBA G League team Delaware Blue Coats, typically depicted as a lively, team-branded character that entertains fans at games and events.
-
C.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
D.
Bruhn
Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
-
E.
Barcy
Barcy is a small French commune located in the Île-de-France region, within the administrative area of Mitry-Mory in the Seine-et-Marne department.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0322d1448190aceaf7486c110ff7 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.