Triple
T20630154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrisburg Giants |
E506931
|
entity |
| Predicate | playerDemographic |
P7875
|
FINISHED |
| Object | predominantly 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: predominantly African American players | Statement: [Harrisburg Giants, playerDemographic, predominantly African American players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerDemographic Context triple: [Harrisburg Giants, playerDemographic, predominantly African American players]
-
A.
hasDemographic
chosen
Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
-
B.
demographicsDescriptor
Indicates a descriptive attribute or classification that characterizes the demographic properties of an entity or group.
-
C.
demographicsLabel
Indicates the categorical demographic group or segment that an entity is associated with or classified under.
-
D.
demographicsIn
Indicates that demographic information is associated with or applies within a specified geographic or organizational area.
-
E.
shareDemographicFeature
Indicates that two or more entities have at least one demographic characteristic in common (such as age group, gender, ethnicity, or similar attributes).
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad09c71881909698d3c2576cc181 |
completed | April 20, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 16, 2026, 11:42 a.m.