Triple
T10599684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knute Rockne |
E275708
|
entity |
| Predicate | winningPercentageAsCoach |
P44736
|
FINISHED |
| Object | .881 |
—
|
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: .881 | Statement: [Knute Rockne, winningPercentageAsCoach, .881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningPercentageAsCoach Context triple: [Knute Rockne, winningPercentageAsCoach, .881]
-
A.
winningPercentageAsHeadCoach
chosen
Indicates the proportion of games a person has won while serving in the role of head coach.
-
B.
winningPercentageAsManager
Indicates the proportion of games a person has won while serving in the role of manager.
-
C.
regularSeasonWinningPercentage
Indicates the proportion of games a team or competitor wins during the regular season, expressed as a percentage of total regular-season games played.
-
D.
gamesWonAsHeadCoach
Indicates the number of games that an individual has won while serving in the role of head coach.
-
E.
careerNBARegularSeasonWinsAsCoach
Indicates the total number of NBA regular season games a person has won in their role as a head coach.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
Created at: April 8, 2026, 7:30 p.m.