Triple

T17768540
Position Surface form Disambiguated ID Type / Status
Subject Ayşe Kulin E443572 entity
Predicate notableWork P4 FINISHED
Object Füreya
Füreya is a biographical novel by Turkish author Ayşe Kulin that portrays the life and struggles of pioneering Turkish ceramic artist Füreya Koral.
E1286842 NE FINISHED

How this triple was built (4 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: Füreya | Statement: [Ayşe Kulin, notableWork, Füreya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Füreya
Context triple: [Ayşe Kulin, notableWork, Füreya]
  • A. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • B. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Füsun
    Füsun is a central female character in Orhan Pamuk’s novel "The Museum of Innocence," whose complex relationship with the protagonist drives the story’s themes of love, obsession, and memory.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Füreya
Triple: [Ayşe Kulin, notableWork, Füreya]
Generated description
Füreya is a biographical novel by Turkish author Ayşe Kulin that portrays the life and struggles of pioneering Turkish ceramic artist Füreya Koral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Füreya
Target entity description: Füreya is a biographical novel by Turkish author Ayşe Kulin that portrays the life and struggles of pioneering Turkish ceramic artist Füreya Koral.
  • A. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • B. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Füsun
    Füsun is a central female character in Orhan Pamuk’s novel "The Museum of Innocence," whose complex relationship with the protagonist drives the story’s themes of love, obsession, and memory.
  • E. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • F. None of above. chosen

Provenance (5 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efc35a048190886bb5ffb5ab708a completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f096fc648190a1ff19f2704a4cef completed May 12, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1d0a4708190bbf51356da7e965e completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:11 a.m.