Triple
T11344256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Draper |
E268676
|
entity |
| Predicate | relationshipWithStepmother |
P79719
|
FINISHED |
| Object | evolving relationship with Megan Draper |
—
|
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: evolving relationship with Megan Draper | Statement: [Sally Draper, relationshipWithStepmother, evolving relationship with Megan Draper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithStepmother Context triple: [Sally Draper, relationshipWithStepmother, evolving relationship with Megan Draper]
-
A.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
B.
stepSister
Indicates that one person is the female child of a parent who is married to, but not the biological or adoptive parent of, another person, making her that person’s stepsister.
-
C.
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.
-
D.
motherInLaw
Indicates a relationship where one person is the mother of another person's spouse.
-
E.
fictionalStepmother
chosen
Indicates a stepmother relationship that exists only within a fictional or narrative context.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e6f8aeb4819080476f16a69b2ee3 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.