Triple
T6959368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Connolly |
E161328
|
entity |
| Predicate | yearOfParkinsonsDiagnosis |
P14504
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Billy Connolly, yearOfParkinsonsDiagnosis, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfParkinsonsDiagnosis Context triple: [Billy Connolly, yearOfParkinsonsDiagnosis, 2013]
-
A.
diagnosisYear
chosen
Indicates the calendar year in which a diagnosis was made or recorded for an entity.
-
B.
durationOfAffliction
Indicates the length of time that an affliction or condition persists for an entity.
-
C.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
D.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
E.
dateOfRehabilitation
Indicates the specific date on which a rehabilitation process, status, or measure for an entity was completed, granted, or took effect.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daedbb4c8190b46846fb1265b937 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.