Triple
T16097496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeopardy! |
E390524
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Ken Jennings |
E890086
|
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: Ken Jennings | Statement: [Jeopardy!, host, Ken Jennings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Jennings Context triple: [Jeopardy!, host, Ken Jennings]
-
A.
Ken Jennings
chosen
Ken Jennings is an American game show contestant and author best known for his record-breaking winning streak on the quiz show "Jeopardy!"
-
B.
Ken Simmons
Ken Simmons is a relatively obscure individual whose primary distinguishing feature is sharing the common surname Simmons, with no widely recognized public profile.
-
C.
Ken Champion
Ken Champion is a musician known for performing the song "Our Anniversary."
-
D.
Bill Archer
Bill Archer is a former Republican U.S. Representative from Texas who served for three decades and chaired the powerful House Ways and Means Committee.
-
E.
Michael Block
Michael Block is a central fictional character whose personal journey and relationships drive the emotional narrative of the film "The Photograph."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6551a48190afb7e0c61e22b541 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9b3e708190be822f7ed588c9da |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.