Triple
T14958517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelma Harper |
E372996
|
entity |
| Predicate | grandparentalRole |
P116849
|
FINISHED |
| Object | grandmother |
—
|
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: grandmother | Statement: [Thelma Harper, grandparentalRole, grandmother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandparentalRole Context triple: [Thelma Harper, grandparentalRole, grandmother]
-
A.
grandparent
Indicates that one entity is the parent of another entity’s parent.
-
B.
adoptiveGrandparentOf
Indicates that one person is the adoptive parent of another person's parent, thus standing in the role of that person's grandparent through adoption.
-
C.
relationshipToGrandparents
Indicates the familial relationship that an entity has with their grandparents, such as biological, step, or adoptive connections.
-
D.
grandparentInLawOf
Indicates that one person is the grandparent of another person’s spouse, or the spouse of another person’s grandparent.
-
E.
paternal grandmother
Indicates that one entity is the mother of the other entity’s father.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.