Triple
T28566685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missy Cooper |
E722697
|
entity |
| Predicate | relationshipToSheldonCooper |
P201813
|
FINISHED |
| Object | twin sister |
—
|
LITERAL FINISHED |
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: twin sister | Statement: [Missy Cooper, relationshipToSheldonCooper, twin sister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSheldonCooper Context triple: [Missy Cooper, relationshipToSheldonCooper, twin sister]
-
A.
relationshipToShawnSpencer
Indicates the specific type of personal or social relationship an entity has with Shawn Spencer.
-
B.
socialSkillRelativeToSheldon
Indicates how one entity’s social skills compare in level or quality to those of Sheldon.
-
C.
relationshipToHomer
Indicates the specific familial or social relationship that one entity has to Homer.
-
D.
relationshipToBobBelcher
Indicates the specific familial, social, or professional relationship that one entity has to Bob Belcher.
-
E.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
- F. None of above. chosen
Provenance (4 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a00262cc9408190b95076a2d3da057d |
completed | May 10, 2026, 6:31 a.m. |
Created at: April 28, 2026, 4:07 a.m.