Triple
T145187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harukichi Hyakutake |
E2937
|
entity |
| Predicate | hasHonorific |
P2097
|
FINISHED |
| Object | general |
—
|
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: general | Statement: [Harukichi Hyakutake, hasHonorific, general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHonorific Context triple: [Harukichi Hyakutake, hasHonorific, general]
-
A.
hasHonorificPrefix
Indicates that one entity is used as an honorific title or prefix attached to another entity’s name.
-
B.
honorificPrefix
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
C.
honorificSuffix
Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
-
D.
honorificTitle
chosen
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
E.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a25656a4fc81908a87678ac3d28f93 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.