Triple

T9046362
Position Surface form Disambiguated ID Type / Status
Subject Nuri Bilge Ceylan E216764 entity
Predicate directed P7373 FINISHED
Object Kasaba
Kasaba is a 1997 Turkish drama film by acclaimed director Nuri Bilge Ceylan, noted for its quiet, contemplative portrayal of rural family life and childhood.
 E774361 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: Kasaba | Statement: [Nuri Bilge Ceylan, directed, Kasaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kasaba
Context triple: [Nuri Bilge Ceylan, directed, Kasaba]
  • A. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • B. Koutaba
    Koutaba is a town and commune in western Cameroon known for its location in the country’s West Region.
  • C. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • D. Kasukabe
    Kasukabe is a city in Japan known for its suburban character within the Greater Tokyo area and as the setting of the popular manga and anime series "Crayon Shin-chan."
  • E. Hasakah
    Hasakah is a major city in northeastern Syria that serves as an important political and administrative center within the Autonomous Administration of North and East Syria.
  • 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: Kasaba
Triple: [Nuri Bilge Ceylan, directed, Kasaba]
Generated description
Kasaba is a 1997 Turkish drama film by acclaimed director Nuri Bilge Ceylan, noted for its quiet, contemplative portrayal of rural family life and childhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kasaba
Target entity description: Kasaba is a 1997 Turkish drama film by acclaimed director Nuri Bilge Ceylan, noted for its quiet, contemplative portrayal of rural family life and childhood.
  • A. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • B. Koutaba
    Koutaba is a town and commune in western Cameroon known for its location in the country’s West Region.
  • C. Kashira
    Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
  • D. Kasukabe
    Kasukabe is a city in Japan known for its suburban character within the Greater Tokyo area and as the setting of the popular manga and anime series "Crayon Shin-chan."
  • E. Hasakah
    Hasakah is a major city in northeastern Syria that serves as an important political and administrative center within the Autonomous Administration of North and East Syria.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebb7f668819099125ab727cd50b1 completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfed8970448190b3deac1d8f46c639 completed April 3, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfedf299908190852cc627fd7134b9 completed April 3, 2026, 4:42 p.m.
Created at: March 30, 2026, 7:09 p.m.