Triple
T36624881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Hubbell |
E904142
|
entity |
| Predicate | winLeaderSeasons |
P67853
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Carl Hubbell, winLeaderSeasons, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winLeaderSeasons Context triple: [Carl Hubbell, winLeaderSeasons, 3]
-
A.
gamesWonLeaderSeasons
chosen
Indicates that the subject entity led (or was among the leaders) in total games won during one or more seasons.
-
B.
teamNumberOfWinsLeader
Indicates that the subject is the team currently leading in number of wins, or the number of wins associated with that leading team.
-
C.
strikeoutLeaderSeasons
Indicates the seasons in which an entity led a league or competition in strikeouts.
-
D.
seasonsWithMostWinsInAL
Indicates the seasons in which a team achieved its highest number of wins specifically in the American League.
-
E.
winsLeader
Indicates that one entity achieves victory or leadership over another in a competitive or comparative 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.