Triple
T34660304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Jennings |
E890086
|
entity |
| Predicate | totalJeopardyWinnings |
P179758
|
FINISHED |
| Object | over $4,000,000 |
—
|
LITERAL 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: over $4,000,000 | Statement: [Ken Jennings, totalJeopardyWinnings, over $4,000,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalJeopardyWinnings Context triple: [Ken Jennings, totalJeopardyWinnings, over $4,000,000]
-
A.
Jeopardy! regular-play winnings
chosen
Indicates the amount of money a contestant has won during standard, non-tournament Jeopardy! games.
-
B.
Jeopardy! regular-play winning streak
Indicates the condition where a contestant has achieved consecutive wins during standard, non-tournament Jeopardy! games.
-
C.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
-
D.
mostAwardsLeaderTotal
Indicates that the subject holds the highest total number of awards compared to all others in the relevant group or context.
-
E.
gamesWonBy
Indicates the number of games that have been won by a particular entity in a given context.
- F. None of above.
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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 2:04 a.m.