Triple
T26775969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Duncan |
E670119
|
entity |
| Predicate | raceAsLegalContext |
P2132
|
FINISHED |
| Object | African American teenager in the Jim Crow–era South |
—
|
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 teenager in the Jim Crow–era South | Statement: [Gary Duncan, raceAsLegalContext, African American teenager in the Jim Crow–era South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceAsLegalContext Context triple: [Gary Duncan, raceAsLegalContext, African American teenager in the Jim Crow–era South]
-
A.
raceContext
Indicates the situational or environmental circumstances under which a race or competitive event takes place.
-
B.
legalContext
chosen
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a specific legal framework, proceeding, or set of legal norms.
-
C.
raceQualification
Indicates that an entity meets the necessary criteria or standards to participate in a particular race or competitive event.
-
D.
legality
Indicates that an action, object, or situation conforms to, violates, or is evaluated in terms of formal laws or legal rules.
-
E.
legalAct
Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6193294948190adeecbad17283103 |
completed | May 2, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:04 a.m.