Triple
T13119879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakitu |
E311692
|
entity |
| Predicate | roleInMarioKart |
P100032
|
FINISHED |
| Object | race referee |
—
|
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: race referee | Statement: [Lakitu, roleInMarioKart, race referee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMarioKart Context triple: [Lakitu, roleInMarioKart, race referee]
-
A.
roleInGuitarHero
Indicates the specific function or part an entity has within the context of the Guitar Hero game (e.g., player role, character role, or gameplay position).
-
B.
roleInGameplay
chosen
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
C.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
D.
roleInCobraKai
Indicates that an entity has a specific role or position within the context of Cobra Kai.
-
E.
roleInKingdomHearts
Indicates the specific narrative or functional role an entity plays within the Kingdom Hearts series.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.