Triple
T16434904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Tennessee v. Vanessa Coleman |
E399156
|
entity |
| Predicate | firstTrialSentence |
P20881
|
FINISHED |
| Object | 53 years imprisonment |
—
|
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: 53 years imprisonment | Statement: [State of Tennessee v. Vanessa Coleman, firstTrialSentence, 53 years imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTrialSentence Context triple: [State of Tennessee v. Vanessa Coleman, firstTrialSentence, 53 years imprisonment]
-
A.
sentencedTo
chosen
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
-
B.
firstAccused
Indicates that the subject is the primary or earliest individual formally charged or blamed in a particular case or incident.
-
C.
firstIndictmentIssued
Indicates that an initial formal criminal charge has been officially filed against an entity for the first time in a given case or context.
-
D.
sentencedOn
Indicates that a judicial authority has formally imposed a legal sentence or punishment on an entity on a specific date.
-
E.
carriedOutSentenceOn
Indicates that an authority executed or enforced a legal sentence or punishment upon a subject.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba1023481909588aa6a3c677886 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.