Triple
T20190987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octolings |
E492976
|
entity |
| Predicate | roleInSplatoon |
P100032
|
FINISHED |
| Object | enemy fighters in single-player campaign |
—
|
LITERAL 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: enemy fighters in single-player campaign | Statement: [Octolings, roleInSplatoon, enemy fighters in single-player campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSplatoon Context triple: [Octolings, roleInSplatoon, enemy fighters in single-player campaign]
-
A.
roleInGameplay
chosen
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
B.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
-
C.
roleInCobraKai
Indicates that an entity has a specific role or position within the context of Cobra Kai.
-
D.
roleInSuperMarioLand
Indicates the specific function or part an entity plays within the context of the game Super Mario Land.
-
E.
roleInDonkeyKongCountry3
Indicates the specific role or function an entity has within the game Donkey Kong Country 3.
- F. None of above.
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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.