Triple

T17844989
Position Surface form Disambiguated ID Type / Status
Subject Netanya E445634 entity
Predicate hasMayor P185 FINISHED
Object Miriam Feirberg-Ikar
Miriam Feirberg-Ikar is an Israeli politician who has served for many years as the mayor of the coastal city of Netanya.
E1290780 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: Miriam Feirberg-Ikar | Statement: [Netanya, hasMayor, Miriam Feirberg-Ikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miriam Feirberg-Ikar
Context triple: [Netanya, hasMayor, Miriam Feirberg-Ikar]
  • A. Miriam Fried
    Miriam Fried is an acclaimed Israeli-American violinist renowned for her solo performances, chamber music collaborations, and influential teaching career.
  • B. Miriam Palatnik
    Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
  • C. Miriam Bienstock
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • D. Miriam Weinstein
    Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
  • E. Elisheva Rotstein
    Elisheva Rotstein is a fictional character portrayed by Israeli actress Ayelet Zurer, likely featured in an Israeli film or television production.
  • 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: Miriam Feirberg-Ikar
Triple: [Netanya, hasMayor, Miriam Feirberg-Ikar]
Generated description
Miriam Feirberg-Ikar is an Israeli politician who has served for many years as the mayor of the coastal city of Netanya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miriam Feirberg-Ikar
Target entity description: Miriam Feirberg-Ikar is an Israeli politician who has served for many years as the mayor of the coastal city of Netanya.
  • A. Miriam Fried
    Miriam Fried is an acclaimed Israeli-American violinist renowned for her solo performances, chamber music collaborations, and influential teaching career.
  • B. Miriam Palatnik
    Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
  • C. Miriam Bienstock
    Miriam Bienstock was an American music industry executive and co-founder of Atlantic Records who played a key role in shaping the label’s early business operations and success.
  • D. Miriam Weinstein
    Miriam Weinstein is the mother of film producer Harvey Weinstein, whose first name inspired the name of the film company Miramax.
  • E. Elisheva Rotstein
    Elisheva Rotstein is a fictional character portrayed by Israeli actress Ayelet Zurer, likely featured in an Israeli film or television production.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a030700bc908190a4c3d995a0674875 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307cca7888190905abe3c1c317c1a completed May 12, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a03084521d88190ab60f3cbdfdb0869 completed May 12, 2026, 11 a.m.
Created at: April 10, 2026, 10:16 a.m.