Triple
T8309055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson Avery |
E194541
|
entity |
| Predicate | performsSurgeryType |
P67337
|
FINISHED |
| Object | facial reconstruction |
—
|
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: facial reconstruction | Statement: [Jackson Avery, performsSurgeryType, facial reconstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsSurgeryType Context triple: [Jackson Avery, performsSurgeryType, facial reconstruction]
-
A.
hasSurgery
Indicates that a surgical procedure is performed on or undergone by an entity.
-
B.
surgicalField
Indicates the specific anatomical area or region of the body on which a surgical procedure is performed.
-
C.
operatedTo
Indicates that one entity has performed a surgical or medical operation on another entity.
-
D.
hadProcedure
Indicates that a subject underwent or received a specific medical or clinical procedure.
-
E.
typeOfProcedureHandled
chosen
Indicates the specific kind or category of procedure that an entity is responsible for managing or processing.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2c06608190bd21633af07a530b |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.