Triple
T34566111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhett Butler and Scarlett O'Hara's children |
E887490
|
entity |
| Predicate | fictionalParents |
P190479
|
FINISHED |
| Object | Rhett Butler |
—
|
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: Rhett Butler | Statement: [Rhett Butler and Scarlett O'Hara's children, fictionalParents, Rhett Butler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalParents Context triple: [Rhett Butler and Scarlett O'Hara's children, fictionalParents, Rhett Butler]
-
A.
hasFictionalFamily
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
-
B.
fictionalDaughter
Indicates that one entity is the daughter of another within a fictional or narrative context.
-
C.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
D.
hasFictionalFamilyMember
chosen
Indicates that one entity has another entity as a family member within a fictional or imagined context.
-
E.
fictionalProgenitorOf
Indicates that one entity is the imagined or invented ancestor, originator, or source from which another entity is said to descend or derive within a fictional or mythological 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 2:02 a.m.