Triple

T15829118
Position Surface form Disambiguated ID Type / Status
Subject Basat’in Tepegözü Öldürdüğü Boy E383821 entity
Predicate hasAntagonist P18963 FINISHED
Object Tepegöz
Tepegöz is a monstrous, cyclopean creature from the Turkic epic "Book of Dede Korkut," known as a fearsome man-eating antagonist defeated by the hero Basat.
E1178982 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: Tepegöz | Statement: [Basat’in Tepegözü Öldürdüğü Boy, hasAntagonist, Tepegöz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tepegöz
Context triple: [Basat’in Tepegözü Öldürdüğü Boy, hasAntagonist, Tepegöz]
  • A. Pukina
    Pukina is an extinct indigenous language once spoken in the Andean region of South America, particularly around Lake Titicaca.
  • B. Pütürge
    Pütürge is a rural district and town in eastern Turkey known for its mountainous terrain and traditional Anatolian village life.
  • C. Tatoga
    Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
  • D. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • 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: Tepegöz
Triple: [Basat’in Tepegözü Öldürdüğü Boy, hasAntagonist, Tepegöz]
Generated description
Tepegöz is a monstrous, cyclopean creature from the Turkic epic "Book of Dede Korkut," known as a fearsome man-eating antagonist defeated by the hero Basat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tepegöz
Target entity description: Tepegöz is a monstrous, cyclopean creature from the Turkic epic "Book of Dede Korkut," known as a fearsome man-eating antagonist defeated by the hero Basat.
  • A. Pukina
    Pukina is an extinct indigenous language once spoken in the Andean region of South America, particularly around Lake Titicaca.
  • B. Pütürge
    Pütürge is a rural district and town in eastern Turkey known for its mountainous terrain and traditional Anatolian village life.
  • C. Tatoga
    Tatoga are a Nilotic-speaking pastoralist ethnic group primarily inhabiting north-central Tanzania, known for their traditional herding lifestyle and distinctive cultural practices.
  • D. Kagizman
    Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
  • E. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e62aba8819090978801f4df73fe completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9bf7363c8190a65798028305b1da completed May 9, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff9c580d608190a7b3de11a924cba7 completed May 9, 2026, 8:43 p.m.
Created at: April 10, 2026, 4:49 a.m.