Triple
T31814973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joy "Ma" Newsome |
E812108
|
entity |
| Predicate | hasGrandparentForChild |
P114504
|
FINISHED |
| Object | Nancy Newsome |
—
|
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: Nancy Newsome | Statement: [Joy "Ma" Newsome, hasGrandparentForChild, Nancy Newsome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGrandparentForChild Context triple: [Joy "Ma" Newsome, hasGrandparentForChild, Nancy Newsome]
-
A.
isGrandchildOf
Indicates that one person is the grandchild (child of a child) of another person.
-
B.
hasGrandchildOfPatriarch
Indicates that one entity is a grandchild of a specified patriarch in a family or lineage relationship.
-
C.
hasGreatGrandchild
Indicates that one entity is the great-grandparent of another entity, i.e., the other is a grandchild of their child.
-
D.
hasGrandparents
chosen
Indicates that an entity has one or more individuals who are the parents of its parents.
-
E.
paternalGrandchildOf
Indicates that one entity is the grandchild of another through the latter’s son (i.e., via the paternal line).
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.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 30, 2026, 11:44 p.m.