Triple
T556152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putlibai Gandhi |
E11944
|
entity |
| Predicate | parentalRole |
P8517
|
FINISHED |
| Object | formative influence on Mahatma Gandhi’s character |
—
|
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: formative influence on Mahatma Gandhi’s character | Statement: [Putlibai Gandhi, parentalRole, formative influence on Mahatma Gandhi’s character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentalRole Context triple: [Putlibai Gandhi, parentalRole, formative influence on Mahatma Gandhi’s character]
-
A.
parentalCare
Indicates that one entity provides nurturing, protection, or support to another in a parent-like role.
-
B.
parents
Indicates a parental relationship where one entity is the mother or father of another entity.
-
C.
parent
Indicates a relationship where one entity is the direct mother or father of another entity, from whom that other entity is descended.
-
D.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
E.
familyAspect
chosen
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991ef9b0819092ec0407270373f4 |
completed | March 1, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.