Triple
T2682296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Earl Gideon |
E57399
|
entity |
| Predicate | wasDenied |
P438
|
FINISHED |
| Object | court-appointed counsel at his original trial |
—
|
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: court-appointed counsel at his original trial | Statement: [Clarence Earl Gideon, wasDenied, court-appointed counsel at his original trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDenied Context triple: [Clarence Earl Gideon, wasDenied, court-appointed counsel at his original trial]
-
A.
rejectedBy
chosen
Indicates that one entity has been refused, dismissed, or not accepted by another entity.
-
B.
rejectedBecause
Indicates that one entity refused, dismissed, or did not accept another entity specifically due to a stated reason or cause.
-
C.
rejectedAt
Indicates the time or date at which something (such as a request, application, or proposal) was formally rejected.
-
D.
typicallyDenies
Indicates that an entity, in most usual or common circumstances, refuses, rejects, or does not grant something to another entity.
-
E.
jurisdictionDenied
Indicates that an authority or body has refused or lacks the legal power to hear, decide, or exercise control over a particular case, matter, or entity.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.