Triple
T18233150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side Effects of You |
E436595
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Warren Felder |
—
|
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: Warren Felder | Statement: [Side Effects of You, producer, Warren Felder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Felder Context triple: [Side Effects of You, producer, Warren Felder]
-
A.
Warren Felder
chosen
Warren Felder, better known by his professional name Oak, is an American record producer and songwriter recognized for his work with numerous prominent R&B and pop artists.
-
B.
Bryan DeWitt
Bryan DeWitt is a person notable enough to be recognized as a bearer of the De Witt surname.
-
C.
Stephen Coleman
Stephen Coleman is a music producer known for his work on major television soundtracks, including the third season of HBO's Game of Thrones.
-
D.
Warren Coleman
Warren Coleman is an Australian filmmaker and screenwriter best known for co-directing the Academy Award–winning animated film "Happy Feet."
-
E.
David P. Landau
David P. Landau is a physicist renowned for his pioneering work in computational statistical physics and Monte Carlo simulations of phase transitions and critical phenomena.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b512a88190aa493b0793ab28b3 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.