Triple
T2714756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impossible Dream season |
E59941
|
entity |
| Predicate | WorldSeriesGamesWon |
P15130
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Impossible Dream season, WorldSeriesGamesWon, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldSeriesGamesWon Context triple: [Impossible Dream season, WorldSeriesGamesWon, 3]
-
A.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
-
B.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
C.
gamesWonBy
chosen
Indicates the number of games that have been won by a particular entity in a given context.
-
D.
worldSeriesGamesHosted
Indicates that the subject has hosted one or more World Series baseball games, with the object specifying which games or how many were hosted.
-
E.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.