Triple
T28499148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hello Kitty |
E721186
|
entity |
| Predicate | successorDesigner |
P78
|
FINISHED |
| Object | Yuko Yamaguchi |
—
|
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: Yuko Yamaguchi | Statement: [Hello Kitty, successorDesigner, Yuko Yamaguchi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorDesigner Context triple: [Hello Kitty, successorDesigner, Yuko Yamaguchi]
-
A.
successorDesignated
Indicates that one entity has been formally chosen or named to take over the role, position, or responsibilities of another entity in the future.
-
B.
successorComposer
Indicates that one composer directly follows another in a compositional role, position, or sequence.
-
C.
predecessorDesign
Indicates that one design serves as the predecessor or earlier version in relation to another design.
-
D.
successor
chosen
Indicates that one entity directly follows another in an ordered sequence or position.
-
E.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier model.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 28, 2026, 3:05 a.m.