Triple
T22958869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny Hart |
E570837
|
entity |
| Predicate | daughterOf |
P24357
|
FINISHED |
| Object | Betty Hart |
—
|
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: Betty Hart | Statement: [Jenny Hart, daughterOf, Betty Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Hart Context triple: [Jenny Hart, daughterOf, Betty Hart]
-
A.
Betty Hart
chosen
Betty Hart is a central character in the animated sitcom "Bless the Harts," portrayed as the optimistic yet financially struggling matriarch of a Southern working-class family.
-
B.
Betty Cole
Betty Cole is an actress known for appearing in the 1974 blaxploitation film "Sheba, Baby" starring Pam Grier.
-
C.
Betty Parker
Betty Parker is the daughter of Trey Parker, the American animator, writer, and co-creator of the television series "South Park."
-
D.
Betsy Carlisle
Betsy Carlisle is a character from the Disney comedy film "Son of Flubber," known as the romantic interest of the protagonist's son in the sequel to "The Absent-Minded Professor."
-
E.
Betty Henderson
Betty Henderson is the commonly used name of Elizabeth Louise Henderson, likely referring to her in informal or familiar contexts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f2ce9c8190977f146771816341 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.