Triple
T28305656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusef Salaam |
E713836
|
entity |
| Predicate | exoneratedIn |
P162381
|
FINISHED |
| Object | Central Park jogger case |
—
|
NE NERFINISHED |
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: Central Park jogger case | Statement: [Yusef Salaam, exoneratedIn, Central Park jogger case]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exoneratedIn Context triple: [Yusef Salaam, exoneratedIn, Central Park jogger case]
-
A.
exoneratedIn
chosen
Indicates that an entity has been officially cleared of blame or legal responsibility in a particular case, situation, or proceeding.
-
B.
acquittedOf
Indicates that an authority has formally cleared an entity of a specific charge, accusation, or wrongdoing.
-
C.
dateOfExoneration
Indicates the date on which an entity was officially cleared of blame, guilt, or conviction.
-
D.
acquittedBy
Indicates that an entity was formally cleared of charges or blame through a decision or judgment made by another entity.
-
E.
wronglyConvictedPerson
Indicates that a person has been found guilty and convicted of a crime they did not actually commit.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644b6b558819095c70a2eb49f1853 |
completed | May 2, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:37 p.m.