Triple
T10358339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Ashton |
E244061
|
entity |
| Predicate | grantedProperty |
P79740
|
FINISHED |
| Object | eternal life |
—
|
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: eternal life | Statement: [Madeline Ashton, grantedProperty, eternal life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedProperty Context triple: [Madeline Ashton, grantedProperty, eternal life]
-
A.
grantedAttribute
chosen
Indicates that one entity has been given or assigned a specific attribute, property, or characteristic by another entity or process.
-
B.
grantedIn
Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
-
C.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
D.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
E.
grantedWith
Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
- 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_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:59 a.m.