Triple
T636658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Kan |
E16636
|
entity |
| Predicate | name |
P16
|
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: [Dan Kan, name, Dan Kan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Kan Context triple: [Dan Kan, name, 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.
Jack Yellen
Jack Yellen was an American lyricist and screenwriter best known for writing popular songs such as "Happy Days Are Here Again" and contributing to numerous early Hollywood films.
-
C.
Larry Csonka
Larry Csonka is a Hall of Fame NFL fullback best known for powering the Miami Dolphins’ dominant early-1970s teams, including their perfect 1972 season and back-to-back Super Bowl titles.
-
D.
Bill Barber
Bill Barber is a Hall of Fame left winger best known as a key offensive star of the Philadelphia Flyers' 1970s Stanley Cup–winning teams.
-
E.
Jon Bosak
Jon Bosak is a computer scientist best known for leading the original XML specification effort at the World Wide Web Consortium (W3C), which helped standardize data interchange on the web.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee7fdbc8190858e42bb1bfdb3ff |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57405d6f48190b55542d50d3a1f22 |
completed | March 2, 2026, 11:27 a.m. |
Created at: March 1, 2026, 7:35 p.m.