Triple
T31450965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cutting for Stone |
E802318
|
entity |
| Predicate | centralProfession |
P103653
|
FINISHED |
| Object | surgeon |
—
|
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: surgeon | Statement: [Cutting for Stone, centralProfession, surgeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralProfession Context triple: [Cutting for Stone, centralProfession, surgeon]
-
A.
professionalCategory
chosen
Indicates the classification of an entity according to its professional field, role, or occupational domain.
-
B.
professionDeterminedBy
Indicates that an entity’s profession is defined or decided based on another factor, condition, or entity.
-
C.
professionalBase
Indicates that one entity serves as the primary professional location, organization, or base of operations for another entity.
-
D.
professionTransmission
Indicates that a profession, trade, or occupational role is passed from one entity (often a person or group) to another, such as across generations or through teaching and mentorship.
-
E.
publicCareer
Indicates that an entity has held or pursued a role or occupation in the public sphere, such as government, politics, or other publicly visible service.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 30, 2026, 9:13 p.m.