Triple
T8893113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Original Misty |
E211731
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Misty |
E211716
|
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: Misty | Statement: [The Original Misty, notableTrack, Misty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misty Context triple: [The Original Misty, notableTrack, 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.
The Original Misty
The Original Misty is a jazz album featuring pianist Erroll Garner’s celebrated rendition of his classic ballad “Misty.”
-
D.
Misty Morning
Misty Morning is a song by Jamaican reggae artist Kaya, known for its mellow, atmospheric sound and reflective mood.
-
E.
Mystery Girl
"Mystery Girl" is the 1989 posthumous studio album by rock and roll pioneer Roy Orbison, featuring some of his most acclaimed late-career recordings.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bb46c881909e579bb1926e5204 |
completed | April 1, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb83445c819085be0b13517292c9 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:54 p.m.