Triple
T8357265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillain–Barré syndrome |
E196711
|
entity |
| Predicate | wasFirstDescribedInYear |
P78646
|
FINISHED |
| Object | 1916 |
—
|
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: 1916 | Statement: [Guillain–Barré syndrome, wasFirstDescribedInYear, 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstDescribedInYear Context triple: [Guillain–Barré syndrome, wasFirstDescribedInYear, 1916]
-
A.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
B.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
C.
introducedInPublicationYear
chosen
Indicates the year in which something (such as a concept, method, or product) was first introduced or presented in a publication.
-
D.
discoveryDate
Indicates the date on which something was first discovered or identified.
-
E.
firstUKPublicationYear
Indicates the year in which an entity was first published in the United Kingdom.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804b57f88190907a4e4e389caf5f |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.