Triple
T22011423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chou |
E543582
|
entity |
| Predicate | mayBeGivenName |
P70064
|
FINISHED |
| Object | Japanese masculine given name |
—
|
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: Japanese masculine given name | Statement: [Chou, mayBeGivenName, Japanese masculine given name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeGivenName Context triple: [Chou, mayBeGivenName, Japanese masculine given name]
-
A.
canBeGivenNameOnItsOwn
chosen
Indicates that something is acceptable or valid to be used as a standalone given name without needing additional components.
-
B.
selfGivenName
Indicates that an entity has a particular given (first) name assigned to itself.
-
C.
givenName
Indicates the personal first name assigned to an individual.
-
D.
givenNameFor
Indicates that one entity is the personal first name assigned to or used for another entity.
-
E.
canBeMiddleName
Indicates that one entity is suitable or allowed to serve as the middle name of 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.