Triple
T22784023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Vaughan |
E563914
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Misty |
—
|
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: Misty | Statement: [Sarah Vaughan, notableWork, Misty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misty Context triple: [Sarah Vaughan, notableWork, Misty]
-
A.
Misty
chosen
"Misty" is a famous jazz standard composed by pianist Erroll Garner, widely recognized for its lush harmonies and enduring popularity in the Great American Songbook.
-
B.
Misty
Misty is the given name of Misty Copeland, the renowned American ballerina and principal dancer with American Ballet Theatre.
-
C.
Misty
Misty is the NATO reporting name for the Mitsubishi T-2, a Japanese supersonic jet trainer and light attack aircraft.
-
D.
Misty
Misty is a main character in the Pokémon series, known as the Cerulean City Gym Leader and one of Ash Ketchum’s original traveling companions.
-
E.
Misty Blue
"Misty Blue" is a classic soul ballad, most famously recorded by Dorothy Moore in 1976, known for its emotive vocals and enduring popularity.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2f9ba48190996b4c3926728c03 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.