Triple
T29046508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Tree |
E735148
|
entity |
| Predicate | creatorEthnicOrigin |
P147216
|
FINISHED |
| Object | Czech-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: Czech-American | Statement: [Family Tree, creatorEthnicOrigin, Czech-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorEthnicOrigin Context triple: [Family Tree, creatorEthnicOrigin, Czech-American]
-
A.
creatorEthnicGroup
chosen
Indicates that an entity was created by a person or group belonging to a specified ethnic group.
-
B.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
creatorEthnicityOfAuthor
Indicates that the specified ethnicity is attributed to the creator who is the author of the referenced work or entity.
-
E.
raceOfOrigin
Indicates the racial or ethnic group from which an entity originally comes or is derived.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 28, 2026, 10:05 a.m.