Triple
T23411648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dance and the Railroad |
E560082
|
entity |
| Predicate | creatorEthnicityContext |
P115789
|
FINISHED |
| Object | Chinese American playwright |
—
|
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 playwright | Statement: [The Dance and the Railroad, creatorEthnicityContext, Chinese American playwright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorEthnicityContext Context triple: [The Dance and the Railroad, creatorEthnicityContext, Chinese American playwright]
-
A.
creatorEthnicGroup
Indicates that an entity was created by a person or group belonging to a specified ethnic group.
-
B.
creatorEthnicityOfAuthor
chosen
Indicates that the specified ethnicity is attributed to the creator who is the author of the referenced work or entity.
-
C.
depictsEthnicContext
Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
-
D.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
E.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.