Triple
T13089143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gettysburg Eddie |
E310413
|
entity |
| Predicate | careerGamesPitched |
P104482
|
FINISHED |
| Object | 623 |
—
|
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: 623 | Statement: [Gettysburg Eddie, careerGamesPitched, 623]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerGamesPitched Context triple: [Gettysburg Eddie, careerGamesPitched, 623]
-
A.
careerInningsPitched
Indicates the total number of innings a player has pitched over the course of their entire career.
-
B.
gamesPitched
chosen
Indicates the number of games in which a pitcher has appeared as the pitching player.
-
C.
teamServedAsPitcherFor
Indicates that an individual performed the role of pitcher for a specified team.
-
D.
careerERA
Indicates the earned run average (ERA) a pitcher maintains over the entirety of their professional career.
-
E.
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.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98138a1d481908a139f2f67eb3472 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:03 p.m.