Triple

T4922412
Position Surface form Disambiguated ID Type / Status
Subject Vashti E110495 entity
Predicate nameForm P1081 FINISHED
Object וַשְׁתִּי
וַשְׁתִּי is the Hebrew name of Queen Vashti, the deposed first wife of King Ahasuerus in the biblical Book of Esther.
 E480058 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: וַשְׁתִּי | Statement: [Vashti, nameForm, וַשְׁתִּי]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: וַשְׁתִּי
Context triple: [Vashti, nameForm, וַשְׁתִּי]
  • A. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • B. Mechir Yayin
    Mechir Yayin is a halachic work by Rabbi Moshe Isserles that offers detailed commentary and legal analysis on Jewish law.
  • C. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • D. Kvasy
    Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
  • E. Vasi-vari
    Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
  • 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: וַשְׁתִּי
Triple: [Vashti, nameForm, וַשְׁתִּי]
Generated description
וַשְׁתִּי is the Hebrew name of Queen Vashti, the deposed first wife of King Ahasuerus in the biblical Book of Esther.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: וַשְׁתִּי
Target entity description: וַשְׁתִּי is the Hebrew name of Queen Vashti, the deposed first wife of King Ahasuerus in the biblical Book of Esther.
  • A. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • B. Mechir Yayin
    Mechir Yayin is a halachic work by Rabbi Moshe Isserles that offers detailed commentary and legal analysis on Jewish law.
  • C. Tvishi
    Tvishi is a semi-sweet white Georgian wine, typically made from Tsolikouri grapes and renowned for its delicate fruitiness and balanced acidity.
  • D. Kvasy
    Kvasy is a village in western Ukraine’s Zakarpattia region, known as a starting point for hikes in the Carpathian Mountains and for its mineral springs.
  • E. Vasi-vari
    Vasi-vari is an Indo-Iranian language spoken in parts of Afghanistan, more widely known as the Prasun language.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffc2ab08190992db2400562bcee completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a41ca08190a8fbfa405b15d68c completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be78292a988190ba51886095629b9c completed March 21, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69be7892b34c819095100b14a80d6fa4 completed March 21, 2026, 10:53 a.m.
Created at: March 20, 2026, 1:30 p.m.