Triple
T11785853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Bridgman |
E280266
|
entity |
| Predicate | effectOfIllness |
P19730
|
FINISHED |
| Object | loss of sight |
—
|
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: loss of sight | Statement: [Laura Bridgman, effectOfIllness, loss of sight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOfIllness Context triple: [Laura Bridgman, effectOfIllness, loss of sight]
-
A.
causeOfIllness
Indicates that one entity is the reason or source responsible for another entity’s illness or disease.
-
B.
settingOfIllness
Indicates the context, environment, or circumstances in which an illness occurs or manifests.
-
C.
healthEffect
chosen
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
D.
effectOfDeath
Indicates the causal impact or consequences that a death has on another entity, state, or process.
-
E.
effectOnSystem
Indicates the influence, change, or impact that one entity, action, or condition has on the state or behavior of a system.
- 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.