Triple
T29437952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Redfield |
E746630
|
entity |
| Predicate | raceInText |
P130133
|
FINISHED |
| Object | Black |
—
|
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: Black | Statement: [Junior Redfield, raceInText, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceInText Context triple: [Junior Redfield, raceInText, Black]
-
A.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
B.
raceGroup
chosen
Indicates that the subject belongs to, or is categorized within, a particular racial or ethnic group.
-
C.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
D.
raceQualification
Indicates that an entity meets the necessary criteria or standards to participate in a particular race or competitive event.
-
E.
raceInSportsContext
Indicates participation in or association with a competitive sporting event where individuals or teams compete to finish first or achieve the best performance.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1a3b9c81908615fa3f2ad58b18 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:18 p.m.