Triple
T18092338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of New Jersey v. Rubin Carter |
E433001
|
entity |
| Predicate | keyEvidenceType |
P3168
|
FINISHED |
| Object | eyewitness testimony |
—
|
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: eyewitness testimony | Statement: [State of New Jersey v. Rubin Carter, keyEvidenceType, eyewitness testimony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyEvidenceType Context triple: [State of New Jersey v. Rubin Carter, keyEvidenceType, eyewitness testimony]
-
A.
usedEvidenceType
chosen
Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
-
B.
keyType
Indicates the classification or category of a key in relation to how it is used or defined within a system or context.
-
C.
keyExample
Indicates that something serves as a representative or illustrative instance of a key concept, feature, or case.
-
D.
providesEvidenceFor
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
E.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.