Triple
T8268459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Sheldon |
E193358
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Missy Cooper |
E722697
|
NE 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: Missy Cooper | Statement: [Young Sheldon, character, Missy Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Missy Cooper Context triple: [Young Sheldon, character, Missy Cooper]
-
A.
Missy Cooper
chosen
Missy Cooper is Sheldon Cooper’s twin sister in the TV series "The Big Bang Theory" and its prequel "Young Sheldon," known for her contrasting down-to-earth personality.
-
B.
Maria Andrews
Maria Andrews is an American woman known primarily as the wife of businessman Neil Bush, a member of the prominent Bush political family.
-
C.
Sissy Sullivan
Sissy Sullivan is a supporting character in the film "Shame," contributing to the emotional and psychological depth of the story.
-
D.
Hattie Maloney
Hattie Maloney is the brash, wisecracking nightclub singer who serves as the central comic heroine of the musical "Panama Hattie."
-
E.
Maysie Hoy
Maysie Hoy is a Canadian film editor known for her work on numerous feature films, including collaborations with prominent directors such as Tyler Perry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb795127ac81908196008f5579f83f |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9505ecb08190bfe4025c858d7ef9 |
completed | April 1, 2026, 9:58 p.m. |
Created at: March 30, 2026, 5:50 p.m.