Triple
T945300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Mathewson |
E20397
|
entity |
| Predicate | WorldSeriesChampionAs |
P10025
|
FINISHED |
| Object | player |
—
|
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: player | Statement: [Christy Mathewson, WorldSeriesChampionAs, player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesChampionAs Context triple: [Christy Mathewson, WorldSeriesChampionAs, player]
-
A.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
B.
worldSeriesChampionAsPlayer
chosen
Indicates that the subject person has won a World Series championship in the role of a player.
-
C.
WorldSeriesTeam
Indicates that a team participated as one of the competing teams in a given World Series.
-
D.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
E.
superBowlChampionWith
Indicates that one entity is the Super Bowl champion associated with the other entity (such as a specific season, year, or team).
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a61b648190b1b6c932e047e161 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.