Triple
T22579066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afrodisiac |
E544515
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | Girl Blue |
—
|
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: Girl Blue | Statement: [Afrodisiac, notableTrack, Girl Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Blue Context triple: [Afrodisiac, notableTrack, Girl Blue]
-
A.
Girl Blue
chosen
"Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
-
B.
Little Girl Blue
Little Girl Blue is a popular American song that became a jazz and pop standard, composed by Richard Rodgers with lyrics by Lorenz Hart.
-
C.
Little Girl Blue
Little Girl Blue is the 1958 debut studio album by American singer, pianist, and civil rights icon Nina Simone, blending jazz, blues, and classical influences.
-
D.
Lady in Blue
"Lady in Blue" is a song by American singer-songwriter Tori Amos from her 2009 album Abnormally Attracted to Sin.
-
E.
Baby Blue
Baby Blue is the costumed blue hen mascot that represents the University of Delaware’s Fightin’ Blue Hens athletic teams.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fefa1308190876b617d47ba08f3 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.