Triple
T445921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham Barons |
E7018
|
entity |
| Predicate | cultureRole |
P3795
|
FINISHED |
| Object | staple of Southern baseball culture |
—
|
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: staple of Southern baseball culture | Statement: [Birmingham Barons, cultureRole, staple of Southern baseball culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultureRole Context triple: [Birmingham Barons, cultureRole, staple of Southern baseball culture]
-
A.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
B.
hasCulturalRole
chosen
Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
-
C.
role
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
D.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
E.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef479ec08190a659eead6eb0d4d0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69a2eddfb5508190a4e06e1b260d8b2b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.