Triple

T1061044
Position Surface form Disambiguated ID Type / Status
Subject Michal E22906 entity
Predicate nameInHebrewScript P6449 FINISHED
Object מִיכַל
מִיכַל is a Hebrew given name, traditionally feminine, that appears in the Hebrew Bible and remains common in modern Hebrew-speaking communities.
 E121814 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: מִיכַל | Statement: [Michal, nameInHebrewScript, מִיכַל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: מִיכַל
Context triple: [Michal, nameInHebrewScript, מִיכַל]
  • A. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • B. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • C. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • D. Micheal
    Micheal is a given name, typically a variant spelling of the more common name Michael.
  • E. Michaël
    Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
  • 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: מִיכַל
Triple: [Michal, nameInHebrewScript, מִיכַל]
Generated description
מִיכַל is a Hebrew given name, traditionally feminine, that appears in the Hebrew Bible and remains common in modern Hebrew-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: מִיכַל
Target entity description: מִיכַל is a Hebrew given name, traditionally feminine, that appears in the Hebrew Bible and remains common in modern Hebrew-speaking communities.
  • A. Yoshua
    Yoshua is a male given name most notably borne by Yoshua Bengio, a pioneering Canadian computer scientist and deep learning researcher.
  • B. Shlomo
    Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
  • C. Ze'ev
    Ze'ev is a Hebrew given name meaning "wolf," commonly used in Israel and among Jewish communities worldwide.
  • D. Micheal
    Micheal is a given name, typically a variant spelling of the more common name Michael.
  • E. Michaël
    Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f531f481909a40558811379992 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd553a08190a2014711bd1146bf completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3dd441fc8190ad462aa07e9c8c9b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:42 p.m.