Triple
T13609391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mei Lin |
E325146
|
entity |
| Predicate | basedOnEthnicBackground |
P44120
|
FINISHED |
| Object | Chinese-American community |
—
|
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: Chinese-American community | Statement: [Mei Lin, basedOnEthnicBackground, Chinese-American community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnEthnicBackground Context triple: [Mei Lin, basedOnEthnicBackground, Chinese-American community]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
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.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
E.
hasEthnicInfluence
chosen
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.