Triple
T15254193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee Art Museum |
E364601
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object | David Kahler |
E364601
|
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: David Kahler | Statement: [Milwaukee Art Museum, hasArchitect, David Kahler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kahler Context triple: [Milwaukee Art Museum, hasArchitect, David Kahler]
-
A.
David Kahler
chosen
David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
-
B.
Ted Kaehler
Ted Kaehler is a computer scientist best known for his work on the Smalltalk programming language and object-oriented programming environments at Xerox PARC.
-
C.
Ken Kelsch
Ken Kelsch was an American cinematographer and occasional producer known for his gritty visual style and frequent collaborations with director Abel Ferrara.
-
D.
Ben Klibreck
Ben Klibreck is a prominent mountain in the Scottish Highlands, known for its isolated position and sweeping views over the county of Sutherland.
-
E.
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f8cb308190933c4478aa096e24 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6def4c8190b6aed1f68d336c5a |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.