Triple
T6321911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Tubbs |
E141760
|
entity |
| Predicate | stepFamilyRelation |
P43381
|
FINISHED |
| Object | stepmother of Cleveland Brown Jr. |
—
|
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: stepmother of Cleveland Brown Jr. | Statement: [Donna Tubbs, stepFamilyRelation, stepmother of Cleveland Brown Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepFamilyRelation Context triple: [Donna Tubbs, stepFamilyRelation, stepmother of Cleveland Brown Jr.]
-
A.
stepFamilyConnection
chosen
Indicates a familial relationship formed through marriage rather than blood or adoption, such as between a stepparent and stepchild or between stepsiblings.
-
B.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
-
C.
maritalRelations
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
stepSibling
Indicates that two people share at least one parent but do not share both biological parents, making them step-siblings.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c76dfc8190a1d44fd0c4402a0e |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.