Triple
T35537863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Goodwill Spalding |
E1026977
|
entity |
| Predicate | winLossRecordAsPitcher |
P18724
|
FINISHED |
| Object | 252–65 |
—
|
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: 252–65 | Statement: [Albert Goodwill Spalding, winLossRecordAsPitcher, 252–65]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winLossRecordAsPitcher Context triple: [Albert Goodwill Spalding, winLossRecordAsPitcher, 252–65]
-
A.
careerPitchingWins
Indicates the total number of games a pitcher has been credited with winning over the course of their entire career.
-
B.
mostWinsByPitcher
Indicates that the pitcher associated with this predicate holds the highest number of recorded wins (victories) compared to all other pitchers in the relevant context.
-
C.
battedWinLossRecord
Indicates the win–loss outcome associated with an entity’s batting performance in a competitive context.
-
D.
careerWinLossRecord
chosen
Indicates the overall tally of wins and losses an entity has accumulated over the entire span of its career.
-
E.
losingPitcher
Indicates that the subject is the pitcher who was charged with the loss in a baseball game.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.