Triple
T35090552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina Mae McKinney |
E1012707
|
entity |
| Predicate | raceRepresentation |
P182511
|
FINISHED |
| Object | broke barriers for Black performers in mainstream cinema |
—
|
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: broke barriers for Black performers in mainstream cinema | Statement: [Nina Mae McKinney, raceRepresentation, broke barriers for Black performers in mainstream cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceRepresentation Context triple: [Nina Mae McKinney, raceRepresentation, broke barriers for Black performers in mainstream cinema]
-
A.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
B.
racialStructure
Indicates how racial categories or groupings are organized, distributed, or structured within a given context or system.
-
C.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
D.
raceGroup
Indicates that the subject belongs to, or is categorized within, a particular racial or ethnic group.
-
E.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
- 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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.