Triple
T17757189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devendra Banhart |
E443272
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Oh Me Oh My |
—
|
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: Oh Me Oh My | Statement: [Devendra Banhart, notableWork, Oh Me Oh My]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Me Oh My Context triple: [Devendra Banhart, notableWork, Oh Me Oh My]
-
A.
Oh Me! Oh My! Oh You!
chosen
"Oh Me! Oh My! Oh You!" is a popular song from the 1925 Vincent Youmans musical *No, No, Nanette*, known for its lighthearted, romantic lyrics and catchy melody.
-
B.
Oh My Love
"Oh My Love" is a song featured on the album "Red Earth."
-
C.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
D.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
-
E.
Oh My My
Oh My My is a 2016 pop-rock album by American band OneRepublic that explores a more electronic and experimental sound than their earlier releases.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841fe97881908f4df503fb781763 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.