Triple
T37924354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Violet Trefusis |
E946048
|
entity |
| Predicate | motherLoverOf |
P189620
|
FINISHED |
| Object | Edward VII |
—
|
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: Edward VII | Statement: [Violet Trefusis, motherLoverOf, Edward VII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherLoverOf Context triple: [Violet Trefusis, motherLoverOf, Edward VII]
-
A.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
B.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
C.
isMaternalFigureOf
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
D.
motherMother
Indicates that one entity is the mother of another entity’s mother (i.e., the maternal grandmother relationship).
-
E.
isMotherOf
Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.