Triple
T5980513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grover Cleveland Alexander |
E133106
|
entity |
| Predicate | gamesWonLeaderSeasons |
P67853
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Grover Cleveland Alexander, gamesWonLeaderSeasons, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesWonLeaderSeasons Context triple: [Grover Cleveland Alexander, gamesWonLeaderSeasons, 6]
-
A.
winsInSingleSeason
Indicates that one entity achieves a specified number of wins within a single competitive season.
-
B.
tournamentWinsInSeason
Indicates that one entity (typically a team or player) has achieved a specified number of tournament victories during a particular season.
-
C.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
D.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
E.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
- F. None of above. chosen
Provenance (4 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:04 p.m.