Triple
T21724599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayanara Torres |
E536243
|
entity |
| Predicate | announcedDiagnosis |
P14504
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Dayanara Torres, announcedDiagnosis, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: announcedDiagnosis Context triple: [Dayanara Torres, announcedDiagnosis, 2019]
-
A.
diagnosisDate
Indicates the date on which a diagnosis was formally established or recorded for an entity.
-
B.
diagnosedWith
Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
-
C.
announcedThat
Indicates that one entity publicly communicated or declared a specific fact, decision, or piece of information about another entity or situation.
-
D.
diagnosisYear
chosen
Indicates the calendar year in which a diagnosis was made or recorded for an entity.
-
E.
diagnoses
Indicates that a medical professional identifies and determines the nature or cause of a condition, disease, or problem in a patient.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd9722ce881909372fd0f1b15d242 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.