Triple
T3593791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1909 World Series |
E76087
|
entity |
| Predicate | notableMatchup |
P18483
|
FINISHED |
| Object | Honus Wagner vs. Ty Cobb |
—
|
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: Honus Wagner vs. Ty Cobb | Statement: [1909 World Series, notableMatchup, Honus Wagner vs. Ty Cobb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMatchup Context triple: [1909 World Series, notableMatchup, Honus Wagner vs. Ty Cobb]
-
A.
notableMatch
chosen
Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
-
B.
notableRivalry
Indicates a significant, well-recognized competitive or adversarial relationship between two entities.
-
C.
notableRivalTeam
Indicates that one team is recognized as a significant or well-known rival of another team.
-
D.
notableMatchVenueFor
Indicates that a venue is notably associated with hosting a particular match or game.
-
E.
notableLeague
Indicates that there is a significant or prominent league associated with the subject entity.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15d3e308190b8352ef1f054f9c3 |
completed | March 8, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.