Triple
T30118489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Rippon |
E765490
|
entity |
| Predicate | hearingTreatment |
P168464
|
FINISHED |
| Object | underwent surgery in infancy to correct hearing |
—
|
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: underwent surgery in infancy to correct hearing | Statement: [Adam Rippon, hearingTreatment, underwent surgery in infancy to correct hearing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hearingTreatment Context triple: [Adam Rippon, hearingTreatment, underwent surgery in infancy to correct hearing]
-
A.
hearingImpairment
Indicates that an entity has a reduced or impaired ability to hear compared to typical auditory function.
-
B.
hearingType
Indicates the type or category of a hearing event or proceeding that takes place.
-
C.
hearingAbility
Indicates the capacity or level to which an entity can perceive and interpret sound through hearing.
-
D.
hearingAdaptation
Indicates a change or adjustment in an entity’s hearing ability or auditory system in response to environmental or situational conditions.
-
E.
earEvolution
Indicates how the structure, function, or complexity of an ear changes or develops over evolutionary time or across evolutionary lineages.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67de8f6108190927e2d68b875d99b |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:12 p.m.