Triple

T7184344
Position Surface form Disambiguated ID Type / Status
Subject Dizengoff Square E167531 entity
Predicate designer P184 FINISHED
Object Genia Averbuch
Genia Averbuch was an Israeli architect best known for her influential modernist designs in Tel Aviv during the early 20th century.
 E647341 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: Genia Averbuch | Statement: [Dizengoff Square, designer, Genia Averbuch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genia Averbuch
Context triple: [Dizengoff Square, designer, Genia Averbuch]
  • A. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • B. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • C. Genia Singer
    Genia Singer was the wife of Yiddish novelist Israel Joshua Singer and a member of the Singer literary family.
  • D. Ayelet Zurer
    Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
  • E. Basya Cohen
    Basya Cohen, better known as Betty Comden, was an American lyricist, screenwriter, and performer famed for her influential work on classic Broadway musicals and Hollywood films.
  • 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: Genia Averbuch
Triple: [Dizengoff Square, designer, Genia Averbuch]
Generated description
Genia Averbuch was an Israeli architect best known for her influential modernist designs in Tel Aviv during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genia Averbuch
Target entity description: Genia Averbuch was an Israeli architect best known for her influential modernist designs in Tel Aviv during the early 20th century.
  • A. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • B. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • C. Genia Singer
    Genia Singer was the wife of Yiddish novelist Israel Joshua Singer and a member of the Singer literary family.
  • D. Ayelet Zurer
    Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
  • E. Basya Cohen
    Basya Cohen, better known as Betty Comden, was an American lyricist, screenwriter, and performer famed for her influential work on classic Broadway musicals and Hollywood films.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94b058481909da9d5b21a5201de completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.