Triple

T3565883
Position Surface form Disambiguated ID Type / Status
Subject Meir Vilner E75446 entity
Predicate familyName P18 FINISHED
Object Vilner
Vilner is a Jewish family surname most notably associated with Meir Vilner, a prominent Israeli communist politician and signatory of Israel’s Declaration of Independence.
E369408 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: Vilner | Statement: [Meir Vilner, familyName, Vilner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilner
Context triple: [Meir Vilner, familyName, Vilner]
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vlašim
    Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
  • C. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • D. Vekoma
    Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
  • E. Grazer
    Grazer is a surname most notably associated with American film and television producer Brian Grazer.
  • 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: Vilner
Triple: [Meir Vilner, familyName, Vilner]
Generated description
Vilner is a Jewish family surname most notably associated with Meir Vilner, a prominent Israeli communist politician and signatory of Israel’s Declaration of Independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vilner
Target entity description: Vilner is a Jewish family surname most notably associated with Meir Vilner, a prominent Israeli communist politician and signatory of Israel’s Declaration of Independence.
  • A. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • B. Vlašim
    Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
  • C. Vimioso
    Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
  • D. Vekoma
    Vekoma is a Dutch roller coaster and amusement ride manufacturer known worldwide for designing and building a wide range of thrill and family attractions for theme parks.
  • E. Grazer
    Grazer is a surname most notably associated with American film and television producer Brian Grazer.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a8f6288190928479f5bea32245 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbacbb1081908fc57168a8fc3ade completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf78d6a881908d5bcc4ae50a76e5 completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5adac0481908b9053585c317be0 completed March 13, 2026, 11:31 a.m.
Created at: March 8, 2026, 3:21 p.m.