Triple
T16434903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Tennessee v. Vanessa Coleman |
E399156
|
entity |
| Predicate | firstTrialOutcome |
P47971
|
FINISHED |
| Object | guilty on multiple facilitation counts |
—
|
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: guilty on multiple facilitation counts | Statement: [State of Tennessee v. Vanessa Coleman, firstTrialOutcome, guilty on multiple facilitation counts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTrialOutcome Context triple: [State of Tennessee v. Vanessa Coleman, firstTrialOutcome, guilty on multiple facilitation counts]
-
A.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
B.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
-
C.
firstFlightOutcome
Indicates the result or status of an entity’s initial flight attempt or maiden flight event.
-
D.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
-
E.
hasFirstTrial
Indicates that an entity is associated with its initial or earliest trial, test, or legal proceeding.
- 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.