Triple
T25086830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenie Victoria Helena |
E628345
|
entity |
| Predicate | surgery |
P3280
|
FINISHED |
| Object | corrective back surgery at age 12 |
—
|
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: corrective back surgery at age 12 | Statement: [Eugenie Victoria Helena, surgery, corrective back surgery at age 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surgery Context triple: [Eugenie Victoria Helena, surgery, corrective back surgery at age 12]
-
A.
surgicalField
Indicates the specific anatomical area or region of the body on which a surgical procedure is performed.
-
B.
hasSurgery
chosen
Indicates that a surgical procedure is performed on or undergone by an entity.
-
C.
operatedInTheatre
Indicates that a medical or surgical procedure was performed on a patient within an operating theatre or surgical suite.
-
D.
operatingTheatre
Indicates a relationship where a medical procedure or operation takes place within a designated surgical room or facility.
-
E.
operatesTheatre
Indicates that an entity manages and runs the activities of a theatre.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e4d88c8190a81861b733d534ac |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:23 a.m.