Triple
T30326569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russ Ortiz |
E771358
|
entity |
| Predicate | eraLeaderSeason |
P68950
|
FINISHED |
| Object | National League wins leader 2003 |
—
|
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: National League wins leader 2003 | Statement: [Russ Ortiz, eraLeaderSeason, National League wins leader 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraLeaderSeason Context triple: [Russ Ortiz, eraLeaderSeason, National League wins leader 2003]
-
A.
ERAleaderSeasons
chosen
Indicates that the subject led a league or competition in earned run average (ERA) for the specified number of seasons.
-
B.
eraLeader
Indicates that a person served as the primary leader or ruler during a specified historical era or period.
-
C.
lastWinnerSeason
Indicates that the subject is the most recent winner of a recurring competition or award in the specified season.
-
D.
seasonMostAssociatedWith
Indicates the season with which something is most strongly or typically associated compared to other seasons.
-
E.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6819c2a2081909073a43ce9160ad0 |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:52 p.m.