Triple
T31760436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Henrich |
E810664
|
entity |
| Predicate | teamSeason |
P155786
|
FINISHED |
| Object | New York Yankees 1937 season |
—
|
NE NERFINISHED |
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 1937 season | Statement: [Tommy Henrich, teamSeason, New York Yankees 1937 season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSeason Context triple: [Tommy Henrich, teamSeason, New York Yankees 1937 season]
-
A.
teamInSeason
chosen
Indicates that a particular team participates or is active in a specified sports season.
-
B.
leagueFoundedSeason
Indicates the season during which a particular league was established or founded.
-
C.
sportSeasonOf
Indicates that one entity is a sports season that belongs to, or is part of, the overall history or schedule of the specified sport.
-
D.
leagueSeasonNumber
Indicates the ordinal number assigned to a particular season within a league’s sequence of seasons.
-
E.
teamDuringChampionshipSeason
Indicates that an entity served as a team for another entity specifically during a designated championship season.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7f9fdc8190a3dd5ddbaf2927d3 |
completed | May 3, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:30 p.m.