Triple
T26943954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beru Lars |
E678588
|
entity |
| Predicate | stepAuntOf |
P161354
|
FINISHED |
| Object | Luke Skywalker |
—
|
NE NERFINISHED |
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: Luke Skywalker | Statement: [Beru Lars, stepAuntOf, Luke Skywalker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepAuntOf Context triple: [Beru Lars, stepAuntOf, Luke Skywalker]
-
A.
auntOf
Indicates that one person is the aunt of another, typically as the sibling (or sibling-in-law) of a parent or sometimes an older female relative in an extended family role.
-
B.
stepCousin
Indicates a familial relationship where one person is the cousin of another through a step-relationship (i.e., connected by marriage rather than by blood).
-
C.
uncleOrAuntOf
Indicates that one person is the uncle or aunt of another person, typically as the sibling (or sibling-in-law) of the other person’s parent.
-
D.
maternalAuntOrUncle
Indicates that one person is the sibling of another person's mother, regardless of the sibling's gender.
-
E.
stepgrandfather
Indicates that one person is the husband or male partner of someone’s grandparent but is not the person’s biological or adoptive grandfather.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62082e298819088389b3bb529fb60 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:20 a.m.