Triple
T12844223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Kiley |
E307129
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Kevin Roche |
E144454
|
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: Kevin Roche | Statement: [Dan Kiley, workedWith, Kevin Roche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Roche Context triple: [Dan Kiley, workedWith, Kevin Roche]
-
A.
Kevin Roche
chosen
Kevin Roche was an acclaimed Irish-American architect known for his innovative modernist designs and influential large-scale public and corporate buildings.
-
B.
Helmut Jahn
Helmut Jahn was a prominent German-American architect known for his high-tech, postmodern designs and influential skyscrapers around the world.
-
C.
Charles Gwathmey
Charles Gwathmey was a prominent American modernist architect known for his influential residential designs and as a key member of the New York Five.
-
D.
Franklin Hejduk
Franklin "Frankie" Hejduk is a retired American soccer player best known as a versatile defender and midfielder for the U.S. national team and Major League Soccer clubs, particularly the Columbus Crew.
-
E.
Laurie Olin
Laurie Olin is a prominent American landscape architect and urban designer known for shaping major public spaces in cities across the United States.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716b63ad481909eb461d923f0d0c2 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 5:36 p.m.