Triple
T35955096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakit |
E1039833
|
entity |
| Predicate | employedAsColumnist |
P103058
|
FINISHED |
| Object | Ahmet Rasim |
—
|
NE NERFINISHED |
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: Ahmet Rasim | Statement: [Vakit, employedAsColumnist, Ahmet Rasim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedAsColumnist Context triple: [Vakit, employedAsColumnist, Ahmet Rasim]
-
A.
becameOpEdColumnistAtTheNewYorkTimes
Indicates that a person assumed the role of an op-ed columnist at The New York Times.
-
B.
employedWriter
Indicates that a writer is formally employed by a person, organization, or entity to perform writing-related work.
-
C.
hasColumnists
chosen
Indicates that an entity (such as a publication or media outlet) employs or features one or more columnists associated with it.
-
D.
roleInElEspectador
Indicates that an entity has a specific role or participation in the work titled "El Espectador."
-
E.
wroteEditorialFor
Indicates that one entity authored an editorial piece that was published by or on behalf of another entity.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:07 p.m.