Triple
T12944738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathy Park Hong |
E309730
|
entity |
| Predicate | ethnicIdentityExploredInWork |
P87231
|
FINISHED |
| Object | Asian 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: Asian American | Statement: [Cathy Park Hong, ethnicIdentityExploredInWork, Asian American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicIdentityExploredInWork Context triple: [Cathy Park Hong, ethnicIdentityExploredInWork, Asian American]
-
A.
racialIdentity
Indicates the relationship between an entity and the racial group or classification with which it is identified or categorized.
-
B.
ethnoreligiousIdentity
Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
-
C.
minorityNationalIdentity
Indicates that an entity identifies with, or is associated with, a national identity that is in the minority within a given state or society.
-
D.
linkedToEthnicIdentity
chosen
Indicates a relationship where something is associated or connected with a particular ethnic identity.
-
E.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.