Triple
T11785851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Bridgman |
E280266
|
entity |
| Predicate | ageAtOnsetOfIllness |
P78532
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Laura Bridgman, ageAtOnsetOfIllness, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtOnsetOfIllness Context triple: [Laura Bridgman, ageAtOnsetOfIllness, 2]
-
A.
durationOfAffliction
Indicates the length of time that an affliction or condition persists for an entity.
-
B.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
-
C.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
D.
typicalAge
chosen
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
E.
hasEarlyOnsetForm
Indicates that the related condition, trait, or phenomenon occurs in an early-onset form, typically manifesting earlier in life than usual.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.