Triple
T9332735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Klem |
E224562
|
entity |
| Predicate | startOfUmpiringCareerInMLB |
P54745
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [Bill Klem, startOfUmpiringCareerInMLB, 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfUmpiringCareerInMLB Context triple: [Bill Klem, startOfUmpiringCareerInMLB, 1905]
-
A.
startTimeAsCommissionerOfMLB
Indicates the date and time when an individual began serving as the Commissioner of Major League Baseball.
-
B.
umpireDebutYear
chosen
Indicates the year in which an individual first began serving as an umpire, typically in an official or professional capacity.
-
C.
firstMLBSeason
Indicates the first Major League Baseball season in which the entity participated or was active.
-
D.
becameFullTimeMLBUmpire
Indicates that an individual transitioned into serving as a full-time umpire in Major League Baseball.
-
E.
brokeIntoMLBAtAge
Indicates the age at which an individual first entered and began playing in Major League Baseball.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37afceb88190ad7ffbc7b47a1caa |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.