Triple
T20102730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyfford Still Museum |
E496586
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Brad Cloepfil |
—
|
NE NERFINISHED |
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: Brad Cloepfil | Statement: [Clyfford Still Museum, architect, Brad Cloepfil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Cloepfil Context triple: [Clyfford Still Museum, architect, Brad Cloepfil]
-
A.
Brad Cloepfil
chosen
Brad Cloepfil is an American architect and founder of the firm Allied Works Architecture, known for his innovative museum and cultural institution designs.
-
B.
Troy Luccketta
Troy Luccketta is an American rock drummer best known for his long tenure with the band Tesla and his work as a touring and session musician.
-
C.
Stefon Zolesky
Stefon Zolesky is a flamboyant, eccentric New York City nightlife correspondent character from Saturday Night Live’s “Weekend Update,” portrayed by comedian Bill Hader.
-
D.
Matt Hendrickson
Matt Hendrickson is a musician best known as a member of the indie rock band Low.
-
E.
Steven Fulop
Steven Fulop is an American politician who has served as the mayor of Jersey City, New Jersey, and is known for his focus on urban development and progressive local policies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.