Triple
T14820506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K.C. Cooper |
E348436
|
entity |
| Predicate | ethnicityInSeries |
P115849
|
FINISHED |
| Object | African-American |
—
|
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 | Statement: [K.C. Cooper, ethnicityInSeries, African-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicityInSeries Context triple: [K.C. Cooper, ethnicityInSeries, African-American]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
portrayedByEthnicity
Indicates that an entity is portrayed or represented by someone of a specified ethnic background.
-
C.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
D.
ethnicityInTradition
Indicates that a particular ethnicity is associated with, represented in, or plays a role within a specified cultural or religious tradition.
-
E.
representedEthnicFirst
Indicates that an entity served as the first person of a given ethnic group to represent another entity (such as an institution, organization, or jurisdiction).
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:50 a.m.