Triple
T19659688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lexie Richardson |
E472047
|
entity |
| Predicate | partnerEthnicity |
P59312
|
FINISHED |
| Object | African American (Brian) |
—
|
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 (Brian) | Statement: [Lexie Richardson, partnerEthnicity, African American (Brian)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerEthnicity Context triple: [Lexie Richardson, partnerEthnicity, African American (Brian)]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
C.
spouseEthnicity
chosen
Indicates the ethnic background or identity of a person’s spouse.
-
D.
hasEthnicScope
Indicates that something is relevant or applicable specifically to a particular ethnic group or ethnic context.
-
E.
artistEthnicity
Indicates that an artist has a specific ethnic background or affiliation.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:45 p.m.