Triple
T30586587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirokazu Yasuhara |
E778528
|
entity |
| Predicate | roleAtUnity |
P165140
|
FINISHED |
| Object | senior designer |
—
|
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: senior designer | Statement: [Hirokazu Yasuhara, roleAtUnity, senior designer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtUnity Context triple: [Hirokazu Yasuhara, roleAtUnity, senior designer]
-
A.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
B.
roleOn
chosen
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
-
C.
roleComponent
Indicates that one entity functions as a component or constituent part within the role or capacity defined by another entity.
-
D.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
-
E.
unificationRole
Indicates the role an entity plays in bringing together or reconciling multiple elements, groups, or concepts into a unified whole.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 29, 2026, 8:23 p.m.