Triple
T28768038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raegan Revord |
E726330
|
entity |
| Predicate | portraysSiblingOf |
P174335
|
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, portraysSiblingOf, Sheldon Cooper (fictional character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSiblingOf Context triple: [Raegan Revord, portraysSiblingOf, Sheldon Cooper (fictional character)]
-
A.
portrayedFamilyMemberOf
Indicates that one entity has depicted another entity as a member of their family, typically in a creative or representational context such as art, film, or literature.
-
B.
artistSiblingOfDepicted
Indicates that the artist creating the work is a sibling of the person depicted in it.
-
C.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
D.
portraysRelationshipWith
chosen
Indicates that one entity depicts, represents, or characterizes another entity as being in a specific kind of relationship with it or with a third party.
-
E.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
- 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_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 28, 2026, 6:14 a.m.