Triple

T35955096
Position Surface form Disambiguated ID Type / Status
Subject Vakit E1039833 entity
Predicate employedAsColumnist P103058 FINISHED
Object Ahmet Rasim
Ahmet Rasim was an influential late Ottoman and early Republican Turkish writer, journalist, and humorist known for his vivid depictions of Istanbul life and social commentary.
 E2163632 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ahmet Rasim
Triple: [Vakit, employedAsColumnist, Ahmet Rasim]
Generated description
Ahmet Rasim was an influential late Ottoman and early Republican Turkish writer, journalist, and humorist known for his vivid depictions of Istanbul life and social commentary.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a38b70315648190a7bec95b845171a9 completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b92cb2388190ae355204ac22ba0a completed June 22, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a38b9a5e1948190864aaab0e46fe305 completed June 22, 2026, 4:27 a.m.
PD Predicate disambiguation batch_69fba34a65a4819088bac6c17542d71c completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:07 p.m.