Triple

T7303632
Position Surface form Disambiguated ID Type / Status
Subject Tarık Akan E167919 entity
Predicate notableWork P4 FINISHED
Object Kanal
"Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
E654511 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: Kanal | Statement: [Tarık Akan, notableWork, Kanal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanal
Context triple: [Tarık Akan, notableWork, Kanal]
  • A. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • B. Calandkanaal
    Calandkanaal is a major shipping canal in the Port of Rotterdam, Netherlands, forming part of the access route between the North Sea and the port’s industrial areas.
  • C. Canal
    Canal is a Madrid Metro station serving as an interchange between lines 2 and 7 in the Chamberí district of Spain's capital.
  • D. Singel canal
    Singel canal is a historic waterway in central Amsterdam that once formed part of the city’s medieval defensive moat and is now lined with notable buildings, markets, and houseboats.
  • E. New Canal
    New Canal is a historic street and commercial thoroughfare in the city centre of Salisbury, England, known for its shops and period architecture.
  • 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: Kanal
Triple: [Tarık Akan, notableWork, Kanal]
Generated description
"Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kanal
Target entity description: "Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
  • A. Kanalaki
    Kanalaki is a small town in northwestern Greece, situated in the Epirus region and serving as a local center for the surrounding rural area.
  • B. Calandkanaal
    Calandkanaal is a major shipping canal in the Port of Rotterdam, Netherlands, forming part of the access route between the North Sea and the port’s industrial areas.
  • C. Canal
    Canal is a Madrid Metro station serving as an interchange between lines 2 and 7 in the Chamberí district of Spain's capital.
  • D. Singel canal
    Singel canal is a historic waterway in central Amsterdam that once formed part of the city’s medieval defensive moat and is now lined with notable buildings, markets, and houseboats.
  • E. New Canal
    New Canal is a historic waterway, likely referring to the Nieuwegracht in the Dutch city of Utrecht, known for its picturesque canalside houses and wharf cellars.
  • 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.