Triple
T25993337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragan Dabić |
E646418
|
entity |
| Predicate | occupationUnderAlias |
P159820
|
FINISHED |
| Object | healer |
—
|
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: healer | Statement: [Dragan Dabić, occupationUnderAlias, healer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationUnderAlias Context triple: [Dragan Dabić, occupationUnderAlias, healer]
-
A.
occupationDuringAlias
Indicates that an entity held a particular occupation specifically during the time period when it was known by a given alias.
-
B.
hasOccupationUnderAlias
chosen
Indicates that an entity holds or held a particular occupation while using a specific alias or alternate name.
-
C.
aliasOfOccupation
Indicates that one occupation term is an alternative name or alias for another occupation.
-
D.
employedUnder
Indicates that one entity works as an employee under the authority, supervision, or organizational structure of another entity.
-
E.
associatedNicknameOfWork
Indicates that a given nickname or informal title is commonly used to refer to a particular work.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 8:57 a.m.