Triple

T11419327
Position Surface form Disambiguated ID Type / Status
Subject Süreyya Opera House E270576 entity
Predicate architect P184 FINISHED
Object Kejork Kalfa
Kejork Kalfa was an Ottoman-era architect known for designing the historic Süreyya Opera House in Istanbul.
E924427 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: Kejork Kalfa | Statement: [Süreyya Opera House, architect, Kejork Kalfa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kejork Kalfa
Context triple: [Süreyya Opera House, architect, Kejork Kalfa]
  • A. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • B. Charlie Kelmeckis
    Charlie Kelmeckis is the introspective teenage protagonist and narrator of Stephen Chbosky’s coming-of-age novel and film "The Perks of Being a Wallflower."
  • C. David Kahler
    David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
  • D. Alvey Kulina
    Alvey Kulina is a troubled former MMA fighter and gym owner who serves as the complex patriarchal figure in the television drama series "Kingdom."
  • E. Haven Daboll
    Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
  • 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: Kejork Kalfa
Triple: [Süreyya Opera House, architect, Kejork Kalfa]
Generated description
Kejork Kalfa was an Ottoman-era architect known for designing the historic Süreyya Opera House in Istanbul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kejork Kalfa
Target entity description: Kejork Kalfa was an Ottoman-era architect known for designing the historic Süreyya Opera House in Istanbul.
  • A. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • B. Charlie Kelmeckis
    Charlie Kelmeckis is the introspective teenage protagonist and narrator of Stephen Chbosky’s coming-of-age novel and film "The Perks of Being a Wallflower."
  • C. David Kahler
    David Kahler is an American architect best known for his significant contributions to the design and expansion of the Milwaukee Art Museum.
  • D. Alvey Kulina
    Alvey Kulina is a troubled former MMA fighter and gym owner who serves as the complex patriarchal figure in the television drama series "Kingdom."
  • E. Haven Daboll
    Haven Daboll is a member of the Daboll family, known publicly as a relative of NFL head coach Brian Daboll.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b88f80d88190b91b63d0b7457c25 completed April 20, 2026, 5:24 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.