Triple
T2984106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōkō |
E80579
|
entity |
| Predicate | notTitleFor |
P8141
|
FINISHED |
| Object | empress consort |
—
|
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: empress consort | Statement: [Jōkō, notTitleFor, empress consort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notTitleFor Context triple: [Jōkō, notTitleFor, empress consort]
-
A.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
-
B.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
firstTitleFor
Indicates that one entity is the earliest or primary title assigned to another entity, typically among multiple possible titles.
-
D.
notConsideredTitleUnderConstitution
chosen
Indicates that a given designation or role is explicitly not recognized as an official title under the constitution.
-
E.
title
Indicates that one entity serves as the formal name or designation 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c481fc81909971c96352a881b4 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.