Triple
T16434902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Tennessee v. Vanessa Coleman |
E399156
|
entity |
| Predicate | firstTrialYear |
P122776
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [State of Tennessee v. Vanessa Coleman, firstTrialYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTrialYear Context triple: [State of Tennessee v. Vanessa Coleman, firstTrialYear, 2010]
-
A.
firstAttemptYear
Indicates the year in which an entity made its first attempt at a particular activity, task, or objective.
-
B.
firstTestYear
Indicates the year in which an entity’s first test or testing activity took place.
-
C.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
D.
firstCycleYear
Indicates the year in which the first cycle, phase, or iteration of a recurring process begins.
-
E.
firstMeetingYear
Indicates the calendar year in which two entities first met or had their initial encounter.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.