Triple
T10349651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Emerita of Japan |
E243845
|
entity |
| Predicate | isLifeTitle |
P28484
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Empress Emerita of Japan, isLifeTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLifeTitle Context triple: [Empress Emerita of Japan, isLifeTitle, true]
-
A.
canBeLifeTitle
Indicates that something is eligible or suitable to serve as a title for a life-related work or representation (such as a biography or life story).
-
B.
isForLife
Indicates that something is intended to last or remain valid for the entire duration of a person’s or entity’s life.
-
C.
isIndividualTitle
chosen
Indicates that a given title refers to a single, specific individual rather than a group, organization, or collective entity.
-
D.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
E.
commonTitle
Indicates that two or more entities share the same title or designation.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e946cbb881909b88536d0107995d |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:57 a.m.