Triple
T8019980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taps |
E186715
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ronald L. Schwary |
E573313
|
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: Ronald L. Schwary | Statement: [Taps, producer, Ronald L. Schwary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald L. Schwary Context triple: [Taps, producer, Ronald L. Schwary]
-
A.
Ronald L. Schwary
chosen
Ronald L. Schwary was an American film producer best known for his Academy Award–winning work on "Ordinary People" and other major Hollywood films.
-
B.
Lewis J. Rachmil
Lewis J. Rachmil was an American film and television producer known for his work on popular movies such as "Footloose."
-
C.
Bernard J. Rothlein
Bernard J. Rothlein is an American engineer and entrepreneur best known as one of the founders of the semiconductor company National Semiconductor.
-
D.
Frank E. Seidman
Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
-
E.
Milton J. Rubenstein
Milton J. Rubenstein was a philanthropist and prominent supporter of science and technology education, for whom the Museum of Science and Technology in Syracuse, New York is named.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf421875f88190a005c3ffba04dffe |
completed | April 3, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:20 p.m.