Triple
T28768029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raegan Revord |
E726330
|
entity |
| Predicate | hasTwinSiblingInFiction |
P88705
|
FINISHED |
| Object | Sheldon Cooper (fictional character) |
—
|
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: Sheldon Cooper (fictional character) | Statement: [Raegan Revord, hasTwinSiblingInFiction, Sheldon Cooper (fictional character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwinSiblingInFiction Context triple: [Raegan Revord, hasTwinSiblingInFiction, Sheldon Cooper (fictional character)]
-
A.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
-
B.
isFictionalTwinOf
chosen
Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
-
C.
hasTwin
Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
-
D.
hasTwinStatus
Indicates that an entity has a twin relationship or classification, such as being one of a pair of twins or having an associated twin counterpart.
-
E.
fictionalHalfSibling
Indicates that one entity is considered a half-sibling of another within a fictional or narrative context, sharing one parent in the story’s canon.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:14 a.m.