Triple
T25309481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-American Girl |
E634567
|
entity |
| Predicate | mainFamilyEthnicity |
P158452
|
FINISHED |
| Object | Korean American |
—
|
NE NERFINISHED |
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: Korean American | Statement: [All-American Girl, mainFamilyEthnicity, Korean American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainFamilyEthnicity Context triple: [All-American Girl, mainFamilyEthnicity, Korean American]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
fatherEthnicity
Indicates the ethnic background or heritage associated specifically with a person's father.
-
C.
primaryEthnicFocus
Indicates that something is chiefly oriented toward, concerned with, or designed for a particular ethnic group as its main focus.
-
D.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
E.
spouseEthnicity
Indicates the ethnic background or identity of a person’s spouse.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4939d53588190be74be0e4a490117 |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:25 p.m.