Triple
T23487951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Chau |
E570589
|
entity |
| Predicate | notableEthnicIdentity |
P101056
|
FINISHED |
| Object | Asian American actress |
—
|
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 actress | Statement: [Hong Chau, notableEthnicIdentity, Asian American actress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEthnicIdentity Context triple: [Hong Chau, notableEthnicIdentity, Asian American actress]
-
A.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
B.
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.
-
C.
hasNotableEthnicIdentityInIndustry
chosen
Indicates that an entity is recognized for having a significant or distinctive ethnic identity within a particular industry or professional field.
-
D.
linkedToEthnicIdentity
Indicates a relationship where something is associated or connected with a particular ethnic identity.
-
E.
mayBelongToEthnicGroup
Indicates that an entity is possibly, but not certainly, a member of a specified ethnic group.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7d9cc08819084c532b069f867ee |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:04 p.m.