Triple

T7303630
Position Surface form Disambiguated ID Type / Status
Subject Tarık Akan E167919 entity
Predicate notableWork P4 FINISHED
Object Maden
Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
 E654509 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: Maden | Statement: [Tarık Akan, notableWork, Maden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maden
Context triple: [Tarık Akan, notableWork, Maden]
  • A. Ore
    Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
  • B. الحديدة
    الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
  • C. Amrun Mine
    Amrun Mine is a major bauxite mining operation in northern Queensland, Australia, developed by Rio Tinto as part of the broader Weipa mining region.
  • D. Laurium
    Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
  • E. Erdberg
    Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
  • 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: Maden
Triple: [Tarık Akan, notableWork, Maden]
Generated description
Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maden
Target entity description: Maden is a 1978 Turkish social realist film directed by Yavuz Özkan, known for its portrayal of coal miners’ struggles and featuring a leading performance by Tarık Akan.
  • A. Ore
    Ore is a suburb and railway station area in Hastings, East Sussex, England, serving as a local residential and transport hub.
  • B. الحديدة
    الحديدة هي مدينة ساحلية يمنية كبرى تقع على البحر الأحمر وتعد من أهم موانئ اليمن ومراكزه التجارية.
  • C. Amrun Mine
    Amrun Mine is a major bauxite mining operation in northern Queensland, Australia, developed by Rio Tinto as part of the broader Weipa mining region.
  • D. Laurium
    Laurium is an ancient mining town in southeastern Attica, Greece, historically renowned for its rich silver mines that financed Athenian power in the classical period.
  • E. Erdberg
    Erdberg is a neighborhood in Vienna’s 3rd district, known for its major transport hubs and mix of residential and commercial areas.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb352ec8190846eff044e08805e completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e55bfccc8190a46067c60c3c1a3f completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e5fbe8a8819083a892f4e54013eb completed March 28, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_69c7e69ca1ac8190a398da894c6cc04e completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 3:01 p.m.