Triple

T13928588
Position Surface form Disambiguated ID Type / Status
Subject Yossi Vardi E334925 entity
Predicate familyName P18 FINISHED
Object Vardi
Vardi is a Hebrew surname most notably associated with Israeli entrepreneur and investor Yossi Vardi.
E1069813 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: Vardi | Statement: [Yossi Vardi, familyName, Vardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vardi
Context triple: [Yossi Vardi, familyName, Vardi]
  • A. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • B. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • C. Noga
    Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
  • D. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • E. Ozar
    Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
  • 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: Vardi
Triple: [Yossi Vardi, familyName, Vardi]
Generated description
Vardi is a Hebrew surname most notably associated with Israeli entrepreneur and investor Yossi Vardi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vardi
Target entity description: Vardi is a Hebrew surname most notably associated with Israeli entrepreneur and investor Yossi Vardi.
  • A. Savyon
    Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
  • B. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • C. Noga
    Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
  • D. Dayan
    Dayan is a Hebrew surname most famously associated with Israeli military leader and politician Moshe Dayan.
  • E. Ozar
    Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa900a0819095eeb1bc46b0336e completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8262288190a7e6dd647b1917c1 completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.