Triple
T33406428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 World Car Design of the Year |
E855448
|
entity |
| Predicate | winnerDesignTeamLead |
P53869
|
FINISHED |
| Object | SangYup Lee |
—
|
NE NERFINISHED |
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: SangYup Lee | Statement: [2022 World Car Design of the Year, winnerDesignTeamLead, SangYup Lee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerDesignTeamLead Context triple: [2022 World Car Design of the Year, winnerDesignTeamLead, SangYup Lee]
-
A.
winnerDesignerBrand
Indicates that a particular designer brand has won a specified competition, award, or contest.
-
B.
winnerDeveloper
Indicates that the subject is the developer who has won a particular contest, competition, or selection process.
-
C.
designLead
Indicates that one entity serves as the primary designer or person in charge of leading the design work for another entity or project.
-
D.
teamLead
chosen
Indicates that one entity serves as the leader or primary coordinator of a team that includes the other entity.
-
E.
winnerWith
Indicates that one entity is the winner in a context or event specifically in association or combination with another entity.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 1:36 a.m.