Triple
T27089558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Norbert Avery |
E686123
|
entity |
| Predicate | fatherWorksAs |
P2600
|
FINISHED |
| Object | plastic 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: plastic surgeon | Statement: [Samuel Norbert Avery, fatherWorksAs, plastic surgeon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherWorksAs Context triple: [Samuel Norbert Avery, fatherWorksAs, plastic surgeon]
-
A.
fatherWorksAt
Indicates that the person identified as the father is employed at the specified organization or workplace.
-
B.
fatherOccupation
chosen
Indicates the type of job or profession held by a person's father.
-
C.
roleInFatherWork
Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
-
D.
ownsWork
Indicates that one entity has legal ownership or proprietary rights over a particular work or creation.
-
E.
fatherWas
Indicates that one entity was the male parent (father) of another entity in the past.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62348c4cc8190ac106c6bca8ac949 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 8:40 a.m.