Triple
T10096321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruise LLC |
E215875
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Dan Kan |
E16636
|
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: Dan Kan | Statement: [Cruise LLC, foundedBy, Dan Kan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Kan Context triple: [Cruise LLC, foundedBy, Dan Kan]
-
A.
Dan Kan
chosen
Dan Kan is an American entrepreneur best known as the co-founder and former chief operating officer of Cruise, a leading self-driving car company.
-
B.
Danny Kanell
Danny Kanell is a former American football quarterback who played in the NFL and later became a sports media analyst and commentator.
-
C.
Mark Kamine
Mark Kamine is a film and television producer known for his work on projects such as the comedy film "Bad Moms."
-
D.
Joe Higashi
Joe Higashi is a Muay Thai kickboxer and energetic fighter from SNK’s Fatal Fury and The King of Fighters series, known for his flashy techniques and comedic personality.
-
E.
Kenny Dillingham
Kenny Dillingham is an American college football coach known for his offensive expertise and for serving as the head coach of the Arizona State Sun Devils.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0798c248190af675e30e280daa8 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6b8d604819094db099981219e72 |
completed | April 5, 2026, 7:23 p.m. |
Created at: March 30, 2026, 9:02 p.m.