Triple
T28891035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Park jogger case |
E732693
|
entity |
| Predicate | ethnicityOfAccused |
P12220
|
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: [Central Park jogger case, ethnicityOfAccused, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicityOfAccused Context triple: [Central Park jogger case, ethnicityOfAccused, Black]
-
A.
primaryPerpetratorEthnicity
Indicates the ethnic group to which the main individual responsible for an act or incident belongs.
-
B.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
C.
involvedEthnicGroup
chosen
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
D.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
E.
ethnicityInSeries
Indicates that a character’s ethnicity as portrayed or identified within a specific series is being specified.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 28, 2026, 7:55 a.m.