Triple
T1525085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songs of Joy & Peace |
E32316
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Steven Epstein |
E180997
|
NE FINISHED |
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: Steven Epstein | Statement: [Songs of Joy & Peace, producer, Steven Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Epstein Context triple: [Songs of Joy & Peace, producer, Steven Epstein]
-
A.
Steven Epstein
chosen
Steven Epstein is a renowned American classical music producer known for his Grammy-winning work on numerous acclaimed recordings.
-
B.
David S. Kaufman
David S. Kaufman was a 19th-century Texas politician and statesman who served as a U.S. Congressman and played a significant role in the early political development of Texas.
-
C.
Michael M. Robin
Michael M. Robin is an American television producer and director known for his work on numerous acclaimed drama series.
-
D.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
E.
David Fleishman
David Fleishman is an American educational administrator known for leading the Newton Public Schools district in Massachusetts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9080175588190bb3b1d4b17966f2f |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6085199c8190868aef3c28842d4e |
completed | March 8, 2026, 11:41 a.m. |
Created at: March 4, 2026, 7:26 p.m.