Triple
T13387964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mor Salkımlı Ev |
E319493
|
entity |
| Predicate | workSubjectRelation |
P7040
|
FINISHED |
| Object | life of Halide Edib Adıvar |
—
|
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: life of Halide Edib Adıvar | Statement: [Mor Salkımlı Ev, workSubjectRelation, life of Halide Edib Adıvar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSubjectRelation Context triple: [Mor Salkımlı Ev, workSubjectRelation, life of Halide Edib Adıvar]
-
A.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
workRelatedTo
Indicates a relationship where one entity’s work, tasks, or professional activities are connected, associated, or relevant to those of another entity.
-
C.
workSubjectPosition
Indicates that a work (such as a publication or creative piece) is associated with a subject that occupies a specific position or ordering within a list or sequence of subjects.
-
D.
editorRelationshipToSubject
Indicates that one entity serves as an editor for, or has an editorial role or responsibility in relation to, the subject entity.
-
E.
subjectOfWork
chosen
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d3a40081909ba49556130ad0e7 |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.