Triple
T30345042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazuto Kirigaya |
E771848
|
entity |
| Predicate | biologicalFamilyName |
P168876
|
FINISHED |
| Object | Narusaka |
—
|
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: Narusaka | Statement: [Kazuto Kirigaya, biologicalFamilyName, Narusaka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biologicalFamilyName Context triple: [Kazuto Kirigaya, biologicalFamilyName, Narusaka]
-
A.
typeSpeciesOfFamily
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a particular family.
-
B.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
-
C.
nameFamily
Indicates that one entity is the family name (surname) of another entity.
-
D.
binomialName
Indicates the formal scientific name assigned to a species, typically composed of its genus and specific epithet.
-
E.
familyNameIn
Indicates that an entity has a specified family name (surname) in a particular language or cultural context.
- F. None of above. chosen
Provenance (4 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682073b00819087f197f3937071a5 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 29, 2026, 7:55 p.m.