Triple
T18067901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Maher |
E432336
|
entity |
| Predicate | notableSongWritten |
P8087
|
FINISHED |
| Object | Why Not Me |
—
|
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: Why Not Me | Statement: [Brent Maher, notableSongWritten, Why Not Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why Not Me Context triple: [Brent Maher, notableSongWritten, Why Not Me]
-
A.
Why Not Me
chosen
"Why Not Me" is a hit country song and album by the mother-daughter duo The Judds that helped establish them as major stars in the 1980s.
-
B.
That's Not Me
"That's Not Me" is a reflective pop song by the Beach Boys from their landmark 1966 album *Pet Sounds*, exploring themes of identity and personal change.
-
C.
It’s Not Me
"It’s Not Me" is a song by American rock band 3 Doors Down from their 2005 album *Seventeen Days*.
-
D.
But Not for Me
"But Not for Me" is a popular jazz and pop standard composed by George Gershwin with lyrics by Ira Gershwin, widely recorded by numerous artists since its 1930 debut.
-
E.
It Ain't Me
"It Ain't Me" is a 2017 EDM-pop song by Kygo and Selena Gomez, known for its tropical house production and melancholic lyrics about a broken relationship.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cceb020081909329492591e7b1f2 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.