Triple
T38453734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Gardner |
E912246
|
entity |
| Predicate | isYoungerSisterInFictionalFamily |
P85476
|
FINISHED |
| Object | Gardner family (Strange Planet) |
—
|
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: Gardner family (Strange Planet) | Statement: [Rose Gardner, isYoungerSisterInFictionalFamily, Gardner family (Strange Planet)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isYoungerSisterInFictionalFamily Context triple: [Rose Gardner, isYoungerSisterInFictionalFamily, Gardner family (Strange Planet)]
-
A.
isEldestSisterOf
Indicates that one person is the oldest female sibling in relation to another person.
-
B.
isYoungestOf
Indicates that the subject is the youngest member within the specified group or set of related entities.
-
C.
youngerSibling
chosen
Indicates that one entity is the younger sibling of another in a family or sibling relationship.
-
D.
hasSister
Indicates that one entity is the sister of another entity.
-
E.
sisterCharacter
Indicates that one character is the sister of another character.
- 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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.