Triple

T7614983
Position Surface form Disambiguated ID Type / Status
Subject Cem Karaca E172339 entity
Predicate associatedAct P37 FINISHED
Object Apaşlar
Apaşlar was a Turkish rock band best known for its collaborations with influential Anatolian rock musician Cem Karaca in the late 1960s and early 1970s.
 E676007 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: Apaşlar | Statement: [Cem Karaca, associatedAct, Apaşlar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Apaşlar
Context triple: [Cem Karaca, associatedAct, Apaşlar]
  • A. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • B. Galeatesi
    Galeatesi are the inhabitants or natives of Galeata, a town in the Emilia-Romagna region of Italy.
  • C. Vuhovi
    Vuhovi is a locality in the Democratic Republic of the Congo known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
  • D. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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: Apaşlar
Triple: [Cem Karaca, associatedAct, Apaşlar]
Generated description
Apaşlar was a Turkish rock band best known for its collaborations with influential Anatolian rock musician Cem Karaca in the late 1960s and early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Apaşlar
Target entity description: Apaşlar was a Turkish rock band best known for its collaborations with influential Anatolian rock musician Cem Karaca in the late 1960s and early 1970s.
  • A. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • B. Galeatesi
    Galeatesi are the inhabitants or natives of Galeata, a town in the Emilia-Romagna region of Italy.
  • C. Vuhovi
    Vuhovi is a locality in the Democratic Republic of the Congo known for being heavily affected during the 2018–2020 Kivu Ebola epidemic.
  • D. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • E. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4392e881908ed1ab3f64b41600 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8686d16808190bc431c43c0928f6e completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c8691bf25881909585bb04404f90da completed March 28, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69c8698f70a081909633b3b6d7fd45e1 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:55 p.m.