Triple
T14893889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Burdette |
E359818
|
entity |
| Predicate | notableSeriesOpponent |
P48918
|
FINISHED |
| Object | New York Yankees in 1957 World Series |
—
|
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: New York Yankees in 1957 World Series | Statement: [Lew Burdette, notableSeriesOpponent, New York Yankees in 1957 World Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSeriesOpponent Context triple: [Lew Burdette, notableSeriesOpponent, New York Yankees in 1957 World Series]
-
A.
notableRivalTeam
Indicates that one team is recognized as a significant or well-known rival of another team.
-
B.
notableMatch
Indicates that there exists a particularly significant or noteworthy match or pairing between the related entities.
-
C.
opposingTeamInNotableEvent
chosen
Indicates that one entity served as the opposing team of another entity in a specific notable event or competition.
-
D.
notableOpponentTeamMember
Indicates that a specific team member is recognized as a particularly significant or noteworthy opponent in relation to another entity or context.
-
E.
wasOpponentOf
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:10 a.m.