Triple
T15879034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Weinke |
E385025
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Weinke |
—
|
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: Chris Weinke | Statement: [Chris Weinke, name, Chris Weinke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Weinke Context triple: [Chris Weinke, name, Chris Weinke]
-
A.
Chris Weinke
chosen
Chris Weinke is a former American football quarterback best known for leading Florida State University to a national championship and winning the Heisman Trophy before playing in the NFL.
-
B.
Chris Bilheimer
Chris Bilheimer is an American graphic designer best known for creating album artwork for bands such as Green Day and R.E.M.
-
C.
Mike Dimkich
Mike Dimkich is an American guitarist best known for his work with punk rock bands, including his role as a touring guitarist for Bad Religion and later as a member of The Offspring.
-
D.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
-
E.
Tim Kehler
Tim Kehler is a Canadian professional ice hockey coach known for his work behind the bench in various European and North American leagues.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
Created at: April 10, 2026, 4:51 a.m.