Triple
T29039270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for "Carmen Jones" |
E737948
|
entity |
| Predicate | ethnicityOfNominee |
P177551
|
FINISHED |
| Object | African 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: African American | Statement: [Academy Award for Best Actress for "Carmen Jones", ethnicityOfNominee, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicityOfNominee Context triple: [Academy Award for Best Actress for "Carmen Jones", ethnicityOfNominee, African American]
-
A.
nominatedPersonNationality
Indicates that the specified nationality is the country or national identity of the person who has been nominated.
-
B.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
C.
winnerEthnicity
Indicates the ethnic background or group to which the winner belongs.
-
D.
artistEthnicity
Indicates that an artist has a specific ethnic background or affiliation.
-
E.
creatorEthnicityOfAuthor
Indicates that the specified ethnicity is attributed to the creator who is the author of the referenced work or entity.
- F. None of above. chosen
Provenance (4 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 28, 2026, 10 a.m.