Triple
T20191302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Olimar |
E492983
|
entity |
| Predicate | roleInPikmin2 |
P139064
|
FINISHED |
| Object | playable protagonist |
—
|
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: playable protagonist | Statement: [Captain Olimar, roleInPikmin2, playable protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPikmin2 Context triple: [Captain Olimar, roleInPikmin2, playable protagonist]
-
A.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
-
B.
roleInDonkeyKongCountry3
Indicates the specific role or function an entity has within the game Donkey Kong Country 3.
-
C.
roleInSuperMarioLand
Indicates the specific function or part an entity plays within the context of the game Super Mario Land.
-
D.
roleInDonkeyKong64
Indicates the role or function an entity has within the context of the game Donkey Kong 64.
-
E.
roleInToyStory2
Indicates that an entity has a specific acting or character role in the movie "Toy Story 2."
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.