Triple
T18084489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Wanna Do |
E432798
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | David Baerwald |
—
|
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: David Baerwald | Statement: [All I Wanna Do, writer, David Baerwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Baerwald Context triple: [All I Wanna Do, writer, David Baerwald]
-
A.
David Baerwald
chosen
David Baerwald is an American singer-songwriter and musician best known for his solo work, his role in the duo David & David, and his co-writing of Sheryl Crow’s hit “All I Wanna Do.”
-
B.
Henry Baerer
Henry Baerer was a German-American sculptor known for creating notable public monuments and statues in the United States during the late 19th century.
-
C.
Fred Bauer
Fred Bauer was a film producer best known for his work on the 1981 fantasy-comedy movie "Under the Rainbow."
-
D.
David Boeddinghaus
David Boeddinghaus is a jazz pianist and composer known for his work on the soundtrack of the animated film "Crumb."
-
E.
Michael Bergin
Michael Bergin is an American model and actor best known for his role as lifeguard J.D. Darius on the television series Baywatch and its related films.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fcdbec819085752e7605ae7772 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.