Triple
T19148393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Honus Wagner |
E468740
|
entity |
| Predicate | playedMajorLeagueSeasons |
P41214
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [John Honus Wagner, playedMajorLeagueSeasons, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedMajorLeagueSeasons Context triple: [John Honus Wagner, playedMajorLeagueSeasons, 21]
-
A.
numberOfMLBSeasons
chosen
Indicates the total count of seasons an entity has participated in Major League Baseball.
-
B.
activeYearsMLB
Indicates the span of years during which an entity was actively participating in Major League Baseball.
-
C.
numberOfGamesPlayedInMLB
Indicates the total count of games an entity has participated in within Major League Baseball.
-
D.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
-
E.
activeYearsInMLS
Indicates the span of years during which an entity was actively involved in Major League Soccer (MLS).
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97b48508190b61458821b6475ad |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.