Triple
T29205947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alva Belmont |
E740410
|
entity |
| Predicate | parentOfNotablePerson |
P112695
|
FINISHED |
| Object | Consuelo Vanderbilt, Duchess of Marlborough |
—
|
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: Consuelo Vanderbilt, Duchess of Marlborough | Statement: [Alva Belmont, parentOfNotablePerson, Consuelo Vanderbilt, Duchess of Marlborough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOfNotablePerson Context triple: [Alva Belmont, parentOfNotablePerson, Consuelo Vanderbilt, Duchess of Marlborough]
-
A.
parentOfCelebrity
Indicates that one entity is the parent of another entity who is a celebrity.
-
B.
motherOfNotablePersonAssociated
chosen
Indicates that one entity is the mother of another entity who is a notable or well-known person associated with a given context.
-
C.
fatherNotableAs
Indicates that someone is recognized or distinguished specifically in their role as a father.
-
D.
familyNotableRole
Indicates that a member of the family holds or held a particularly significant, distinguished, or influential role.
-
E.
familyNotableMember
Indicates that a particular individual is a distinguished or noteworthy member of a given family.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 12:09 p.m.