Triple
T28895302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmy Bee |
E732819
|
entity |
| Predicate | teamRoleInSonicHeroes |
P165500
|
FINISHED |
| Object | flight-type character |
—
|
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: flight-type character | Statement: [Charmy Bee, teamRoleInSonicHeroes, flight-type character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRoleInSonicHeroes Context triple: [Charmy Bee, teamRoleInSonicHeroes, flight-type character]
-
A.
roleInKirbySuperStar
Indicates the specific function or part an entity plays within the context of the game *Kirby Super Star*.
-
B.
mainProtagonistTeamMember
Indicates that an entity is a member of the primary team or group associated with the main protagonist.
-
C.
roleInScoobyDoo
Indicates the specific function or character part an entity plays within the Scooby-Doo franchise or storyline.
-
D.
roleInDonkeyKongCountry
Indicates the specific role or function an entity has within the context of Donkey Kong Country.
-
E.
roleInSuperMarioLand
Indicates the specific function or part an entity plays within the context of the game Super Mario Land.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa2c5fc8190a74ea45c30e714d4 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 7:58 a.m.