Triple
T3621090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toledo Window Box |
E76727
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Monte Kay |
E447960
|
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: Monte Kay | Statement: [Toledo Window Box, producer, Monte Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Kay Context triple: [Toledo Window Box, producer, Monte Kay]
-
A.
Monte Kay
chosen
Monte Kay was an American jazz producer and talent manager known for his influential work in the mid-20th-century music and entertainment industry.
-
B.
Monte Blue
Monte Blue was an American film actor prominent during the silent era and early sound period, known for his leading and character roles in numerous Hollywood productions.
-
C.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
-
D.
Moses Mountain
Moses Mountain is a prominent man-made hill and scenic overlook within Staten Island’s Greenbelt park system, offering hiking trails and views of the surrounding landscape.
-
E.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2b9aa608190a680b250ecf63156 |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda3f5a8a88190a494a9338c01962a |
completed | March 20, 2026, 7:45 p.m. |
Created at: March 8, 2026, 3:23 p.m.