Triple
T7160400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Everett |
E166927
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Betty Everett |
E166927
|
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: Betty Everett | Statement: [Betty Everett, birthName, Betty Everett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Everett Context triple: [Betty Everett, birthName, Betty Everett]
-
A.
Betty Everett
chosen
Betty Everett was an American soul singer best known for her 1964 hit single "The Shoop Shoop Song (It's in His Kiss)."
-
B.
Betty Lawford
Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
-
C.
Betty Kelly
Betty Kelly is an American singer best known as a member of the Motown girl group Martha and the Vandellas during the 1960s.
-
D.
Betty Furness
Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
-
E.
Betty Hart
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.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e82ce770819081dccf7ffd50c2ab |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8fae30481909c39d68fb828a2c0 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:47 p.m.