Triple
T23309118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobra Records |
E590531
|
entity |
| Predicate | recordedArtist |
P1363
|
FINISHED |
| Object | Betty Everett |
—
|
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 Everett | Statement: [Cobra Records, recordedArtist, Betty Everett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Everett Context triple: [Cobra Records, recordedArtist, 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 Morgan
Betty Morgan is a central human character in the 1959 sci-fi comedy film "Teenagers from Outer Space," known for befriending an alien youth who rebels against his species' invasion plans.
-
C.
Betty Lawford
Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
-
D.
Betty Sutton
Betty Sutton is an American Democratic politician and attorney who served in the U.S. House of Representatives representing a district in Ohio.
-
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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19729f7a4819092a1d24415b3df7a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.