Triple
T9416761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainsley Whitly |
E227041
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Chris Fedak |
E526784
|
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: Chris Fedak | Statement: [Ainsley Whitly, creator, Chris Fedak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Fedak Context triple: [Ainsley Whitly, creator, Chris Fedak]
-
A.
Chris Fedak
chosen
Chris Fedak is an American television writer and producer best known as the co-creator of the spy-comedy series "Chuck."
-
B.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
C.
Craig Heisinger
Craig Heisinger is a Canadian ice hockey executive best known for his long-time leadership role with the Manitoba Moose organization.
-
D.
Chris Weinke
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.
-
E.
Kevin Fagan
Kevin Fagan is the American cartoonist best known as the creator of the long-running comic strip "Drabble."
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cb4be08190a47f901a9703f9db |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139ce08ec81908a8e81c060667ac3 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:48 p.m.