Triple
T7727580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sliding Down |
E175171
|
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: [Sliding Down, producer, Steven Epstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Epstein Context triple: [Sliding Down, 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.
Mark Epstein
Mark Epstein is an American psychiatrist and author known for integrating Buddhist meditation and psychology in his writings on mental health and spirituality.
-
C.
Stephen Deutsch
Stephen Deutsch is a film producer best known for his work on the 1983 sports drama "All the Right Moves" starring Tom Cruise.
-
D.
Stephen Deutsch
Stephen Deutsch is a film producer best known for his work on the romantic time-travel drama "Somewhere in Time."
-
E.
Daniel Epstein
Daniel Epstein is a relatively common personal name shared by multiple individuals, including professionals in fields such as law, journalism, and entrepreneurship.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70315e8e88190a5c7e5d2f2ef66bc |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be2de08881909715d9164b743aae |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.