Triple
T26171984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Leonard |
E654427
|
entity |
| Predicate | brokeIntoBaseballAs |
P160730
|
FINISHED |
| Object | semi-professional player in North Carolina |
—
|
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: semi-professional player in North Carolina | Statement: [Buck Leonard, brokeIntoBaseballAs, semi-professional player in North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brokeIntoBaseballAs Context triple: [Buck Leonard, brokeIntoBaseballAs, semi-professional player in North Carolina]
-
A.
brokeIntoMLBWith
Indicates the relationship where a person began their Major League Baseball career with a specific team.
-
B.
brokeIntoMajorsAs
Indicates that an individual first entered or debuted in a major-level context (such as a top professional league or tier) in a specified role, position, or capacity.
-
C.
brokeIntoMLBAtAge
Indicates the age at which an individual first entered and began playing in Major League Baseball.
-
D.
joinedMLBIn
Indicates the time or context in which an individual became a member of, or started playing in, Major League Baseball.
-
E.
playsBaseballFor
Indicates that one entity participates as a baseball player on the team or organization represented by the other entity.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c4485748190aff17798bca51406 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 26, 2026, 8:35 p.m.