Triple
T14507951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becca and Tyler |
E340314
|
entity |
| Predicate | relationshipToGrandparents |
P114507
|
FINISHED |
| Object | estranged |
—
|
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: estranged | Statement: [Becca and Tyler, relationshipToGrandparents, estranged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGrandparents Context triple: [Becca and Tyler, relationshipToGrandparents, estranged]
-
A.
relationshipToYoungerFamily
Indicates a familial relationship where one person is related to another who is younger in age within the family.
-
B.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
C.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
-
D.
relationshipToChildren
Indicates the type of familial or social connection an entity has to one or more children.
-
E.
maternalGrandparents
Indicates the relationship between a person and the parents of that person’s mother.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e40e44819084f323f8f9982b75 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.