Triple
T22224355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Las Vegas |
E549294
|
entity |
| Predicate | bearerEthnicity |
P78013
|
FINISHED |
| Object | German descent |
—
|
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: German descent | Statement: [Mr. Las Vegas, bearerEthnicity, German descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerEthnicity Context triple: [Mr. Las Vegas, bearerEthnicity, German descent]
-
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.
laterEthnicIdentity
Indicates that an entity’s ethnic identity is associated with or applies to a later period in time relative to some earlier state or context.
-
D.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
E.
associatedEthnicityOfBearer
chosen
Indicates the ethnic group or ethnicity with which the bearer of something (such as a name, title, or item) is associated.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b93e2208190aee70ffd82962ea0 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.