Triple
T32166686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinny Pazienza |
E821600
|
entity |
| Predicate | yearOfCarAccident |
P189053
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Vinny Pazienza, yearOfCarAccident, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfCarAccident Context triple: [Vinny Pazienza, yearOfCarAccident, 1991]
-
A.
testingAccidentYear
chosen
Indicates a relationship where an accident is associated with, or evaluated in the context of, a specific year designated as its accident year.
-
B.
yearOfSecondAccident
Indicates the calendar year in which an entity experienced its second recorded accident.
-
C.
ageAtAccident
Indicates the age of an entity at the time a specific accident or incident occurred.
-
D.
injuryYear
Indicates the year in which an injury occurred or was recorded for the entity.
-
E.
accidentOccurredDuring
Indicates that an accident took place within the time span or context of a specified event, activity, or condition.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 1, 2026, 12:33 a.m.