Triple
T678438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogi Berra |
E13128
|
entity |
| Predicate | numberOfWorldSeriesChampionshipsAsPlayer |
P16282
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Yogi Berra, numberOfWorldSeriesChampionshipsAsPlayer, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldSeriesChampionshipsAsPlayer Context triple: [Yogi Berra, numberOfWorldSeriesChampionshipsAsPlayer, 10]
-
A.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
B.
numberOfWorldSeriesTitles
chosen
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
C.
worldSeriesAppearance
Indicates that an entity (typically a team) has participated in a World Series event.
-
D.
playedEntireCareerForSingleFranchise
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
E.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.