Triple
T13595309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You've Got It Bad Girl |
E324801
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Yvonne Wright |
E1065110
|
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: Yvonne Wright | Statement: [You've Got It Bad Girl, lyricist, Yvonne Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvonne Wright Context triple: [You've Got It Bad Girl, lyricist, Yvonne Wright]
-
A.
Yvonne Wright
chosen
Yvonne Wright was an American songwriter best known for her collaborations with Stevie Wonder on several of his 1970s albums.
-
B.
Yvonne Little
Yvonne Little is one of the daughters of Louise Little, the mother of civil rights leader Malcolm X.
-
C.
Yvonne Roberts
Yvonne Roberts is a British journalist and writer known for her work on social issues, politics, and feminism.
-
D.
Yvonne Hitchens
Yvonne Hitchens is the grandmother of Alexander Hitchens.
-
E.
Yvonne Wood
Yvonne Wood was an American costume designer known for her work on classic Hollywood films of the 1940s and 1950s.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f931048190ad5182a8c2ebecb6 |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:49 p.m.