Triple
T30899135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corrina Grant Gill |
E787110
|
entity |
| Predicate | hasEthnicBackgroundThroughParents |
P13742
|
FINISHED |
| Object | 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: American | Statement: [Corrina Grant Gill, hasEthnicBackgroundThroughParents, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicBackgroundThroughParents Context triple: [Corrina Grant Gill, hasEthnicBackgroundThroughParents, American]
-
A.
hasEthnicOrRegionalOrigin
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
-
B.
maternalEthnicOrigin
Indicates the ethnic background or heritage associated with an individual’s mother.
-
C.
mainFamilyEthnicity
Indicates the primary ethnic background or heritage associated with a person’s family.
-
D.
hasMajorEthnicMinority
Indicates that an entity includes a significant ethnic minority group within its overall population or composition.
-
E.
hasFamilyBackgroundIn
chosen
Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 8:50 p.m.