Triple
T20174206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope & Faith |
E492046
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Wendy Melvoin |
—
|
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: Wendy Melvoin | Statement: [Hope & Faith, composer, Wendy Melvoin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Melvoin Context triple: [Hope & Faith, composer, Wendy Melvoin]
-
A.
Wendy Melvoin
chosen
Wendy Melvoin is an American guitarist, songwriter, and composer best known for her work with Prince and The Revolution and for scoring film and television projects.
-
B.
Susannah Melvoin
Susannah Melvoin is an American singer and songwriter best known for her work with Prince and The Family and for co-writing the hit song "Nothing Compares 2 U."
-
C.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
-
D.
Kathy Valentine
Kathy Valentine is an American musician best known as the bassist for the pioneering all-female rock band The Go-Go’s.
-
E.
Mindy Cohn
Mindy Cohn is an American actress best known for playing Natalie Green on the classic television sitcom "The Facts of Life."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.