Triple
T36143812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trudy Hubermann |
E1045387
|
entity |
| Predicate | isStepSiblingOf |
P29991
|
FINISHED |
| Object | Liesel Meminger |
—
|
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: Liesel Meminger | Statement: [Trudy Hubermann, isStepSiblingOf, Liesel Meminger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStepSiblingOf Context triple: [Trudy Hubermann, isStepSiblingOf, Liesel Meminger]
-
A.
hasStepSibling
chosen
Indicates that one person is the step-sibling of another, meaning they are related through the marriage of their parents rather than by blood or adoption.
-
B.
stepSibling
Indicates that two people share at least one parent but do not share both biological parents, making them step-siblings.
-
C.
isOlderBrotherOf
Indicates that one male sibling is older than and brother to another person.
-
D.
isNephewOf
Indicates that one person is the male child of another person's sibling.
-
E.
stepAuntOf
Indicates a familial relationship where one person is the sister or sister-in-law of another person's stepparent.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.