Triple
T5137474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negro National League |
E115860
|
entity |
| Predicate | featuredPlayerDemographic |
P58038
|
FINISHED |
| Object | African American players |
—
|
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: African American players | Statement: [Negro National League, featuredPlayerDemographic, African American players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredPlayerDemographic Context triple: [Negro National League, featuredPlayerDemographic, African American players]
-
A.
featuresPlayer
Indicates that something includes or prominently presents a particular player as part of its content or composition.
-
B.
featuredPlayerAge
Indicates the age of the player who is designated as the featured or highlighted participant in a given context.
-
C.
hasDemographic
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
D.
demographicsDescriptor
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
E.
involvesDemographic
chosen
Indicates that an action, event, or entity is related to, affects, or includes a specific demographic group or population segment.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.