Triple
T20625567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bangles |
E506807
|
entity |
| Predicate | notableSongwriterForBand |
P23999
|
FINISHED |
| Object | Michael Steele |
—
|
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: Michael Steele | Statement: [The Bangles, notableSongwriterForBand, Michael Steele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Steele Context triple: [The Bangles, notableSongwriterForBand, Michael Steele]
-
A.
Michael Steele
Michael Steele is an American political commentator and former chairman of the Republican National Committee.
-
B.
Michael Steele
chosen
Michael Steele is an American bassist, singer, and songwriter best known as a member of the all-female pop-rock band The Bangles.
-
C.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
-
D.
Don Hunter
Don Hunter is a composer known for writing the music to the song "I Don't Know Why."
-
E.
Michael Cavanagh
Michael Cavanagh is an Australian drummer best known for his work with the psychedelic rock band King Gizzard & the Lizard Wizard.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe490a08190b8fe49da78ebd6cc |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.