Triple
T38646594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Baseball Hall of Fame election process |
E938732
|
entity |
| Predicate | eraCommitteeSize |
P9733
|
FINISHED |
| Object | small panel of voters |
—
|
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: small panel of voters | Statement: [National Baseball Hall of Fame election process, eraCommitteeSize, small panel of voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraCommitteeSize Context triple: [National Baseball Hall of Fame election process, eraCommitteeSize, small panel of voters]
-
A.
numberOfCommitteeMembers
Indicates the total count of individuals who are members of a given committee.
-
B.
selectionCommitteeSize
chosen
Indicates the number of members that make up a given selection committee.
-
C.
numberOfMainCommittees
Indicates the total count of primary or main committees associated with an entity.
-
D.
hasCommitteeMembers
Indicates that a committee is composed of, or includes, specific individuals as its members.
-
E.
hasNumberOfCommittees
Indicates the relationship that specifies how many committees are associated with a given entity.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.