Triple
T30781032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Ruth’s alleged called shot in Game 3 |
E783811
|
entity |
| Predicate | hasSeriesStatusAfterGame |
P140159
|
FINISHED |
| Object | Yankees led series 3–0 |
—
|
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: Yankees led series 3–0 | Statement: [Babe Ruth’s alleged called shot in Game 3, hasSeriesStatusAfterGame, Yankees led series 3–0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeriesStatusAfterGame Context triple: [Babe Ruth’s alleged called shot in Game 3, hasSeriesStatusAfterGame, Yankees led series 3–0]
-
A.
hasStatusInSeries
Indicates that an entity holds a particular status or role within a specific series or sequence.
-
B.
hasGameSeriesContribution
Indicates that an entity has contributed in some way to the development, production, or content of a particular game series.
-
C.
playedHomeGamesUntil
Indicates the period up to which a team or player hosted their home games at a particular venue.
-
D.
statusBySeriesEnd
chosen
Indicates the condition or outcome of an entity as it stands at the conclusion of a particular series.
-
E.
hasWonSeries
Indicates that one entity has achieved overall victory in a multi-game or multi-event series against another 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 29, 2026, 8:41 p.m.