Triple
T11369952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bode Miller |
E269314
|
entity |
| Predicate | worldCupSeasonTitles |
P98943
|
FINISHED |
| Object | multiple discipline titles |
—
|
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: multiple discipline titles | Statement: [Bode Miller, worldCupSeasonTitles, multiple discipline titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupSeasonTitles Context triple: [Bode Miller, worldCupSeasonTitles, multiple discipline titles]
-
A.
WorldCupSeasonTitles
Indicates the number of World Cup titles an entity has won in a given season or across seasons.
-
B.
WorldCupOverallTitles
Indicates the total number of World Cup championship titles an entity has won across all tournaments.
-
C.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
D.
worldCupWon
Indicates that the subject has won the FIFA World Cup tournament.
-
E.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
- F. None of above. chosen
Provenance (4 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:33 p.m.