Triple
T9853847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witness |
E239535
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Edward S. Feldman |
E285643
|
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: Edward S. Feldman | Statement: [Witness, producer, Edward S. Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward S. Feldman Context triple: [Witness, producer, Edward S. Feldman]
-
A.
Edward S. Feldman
chosen
Edward S. Feldman is an American film producer known for overseeing a range of notable movies across several decades, including acclaimed dramas and thrillers.
-
B.
Charles K. Feldman
Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
-
C.
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.
-
D.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
-
E.
Lewis J. Rachmil
Lewis J. Rachmil was an American film and television producer known for his work on popular movies such as "Footloose."
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbac7a42348190a86fa5a97e3d36ca |
completed | April 12, 2026, 2:30 p.m. |
Created at: March 30, 2026, 8:34 p.m.