Triple
T2057712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Grace Symonds Bell |
E45713
|
entity |
| Predicate | hearingImpairment |
P35501
|
FINISHED |
| Object | profound hearing loss |
—
|
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: profound hearing loss | Statement: [Eliza Grace Symonds Bell, hearingImpairment, profound hearing loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearingImpairment Context triple: [Eliza Grace Symonds Bell, hearingImpairment, profound hearing loss]
-
A.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
-
B.
canHear
Indicates that one entity is able to perceive sounds produced by another entity.
-
C.
heard
Indicates that one entity perceived a sound produced by another entity or source through hearing.
-
D.
mayHear
Indicates that one entity is permitted or able to hear sounds, speech, or audio produced by another entity.
-
E.
canImpair
Indicates that one entity has the potential or ability to weaken, damage, or reduce the normal function, quality, or effectiveness of another entity.
- F. None of above. chosen
Provenance (4 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9ae0130819089f7d62005466a45 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb92f90a881909a1f10b060132a9e |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:40 p.m.