Triple
T18301501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Architext |
E438367
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Joe Kraus |
—
|
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: Joe Kraus | Statement: [Architext, foundedBy, Joe Kraus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Kraus Context triple: [Architext, foundedBy, Joe Kraus]
-
A.
Joe Kraus
chosen
Joe Kraus is an American entrepreneur and venture capitalist best known as a co-founder of the early web search company Excite and later a partner at Google Ventures.
-
B.
Erik Friedlander
Erik Friedlander is an American cellist and composer known for his innovative work in avant-garde jazz, contemporary classical music, and genre-blending collaborations.
-
C.
Paul Kraus
Paul Kraus was a 20th-century historian of philosophy and science known for his pioneering scholarship on early Islamic alchemy and the works attributed to Jabir ibn Hayyan.
-
D.
Michael Stern
Michael Stern is an American philanthropist and real estate developer best known for founding New York City's Intrepid Sea, Air & Space Museum.
-
E.
Michael Stern
Michael Stern is an American conductor best known for his long tenure leading the Kansas City Symphony and for his work with major orchestras in the United States and abroad.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.