Triple
T32191778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Tyler |
E822274
|
entity |
| Predicate | undergoesMedicalProcedure |
P53036
|
FINISHED |
| Object | series of experimental treatments to alter her appearance |
—
|
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: series of experimental treatments to alter her appearance | Statement: [Janet Tyler, undergoesMedicalProcedure, series of experimental treatments to alter her appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergoesMedicalProcedure Context triple: [Janet Tyler, undergoesMedicalProcedure, series of experimental treatments to alter her appearance]
-
A.
hadProcedure
chosen
Indicates that a subject underwent or received a specific medical or clinical procedure.
-
B.
hasSurgery
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.
operatedOn
Indicates that one entity has performed a surgical or procedural operation on another entity.
-
E.
oftenUndergo
Indicates that an entity frequently experiences, is subjected to, or passes through a particular process, action, or change.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 12:35 a.m.