Triple

T19967916
Position Surface form Disambiguated ID Type / Status
Subject Micha Josef Berdyczewski E479989 entity
Predicate givenName P17 FINISHED
Object Micha
Micha is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and related to the name Michael.
 E1404559 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: Micha | Statement: [Micha Josef Berdyczewski, givenName, Micha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Micha
Context triple: [Micha Josef Berdyczewski, givenName, Micha]
  • A. Micka
    Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • B. Michahay
    Michahay is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
  • C. Mik
    Mik is the nickname and given name of Mik Kaminski, the English violinist best known for his work with the rock band Electric Light Orchestra.
  • D. Mychael
    Mychael is a Canadian film composer best known for his evocative, world music–influenced scores, including the Academy Award–winning soundtrack for "Life of Pi."
  • E. Michaeli
    Michaeli is a Hebrew-language surname borne by various Israeli public figures, including politicians, academics, and artists.
  • 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: Micha
Triple: [Micha Josef Berdyczewski, givenName, Micha]
Generated description
Micha is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and related to the name Michael.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Micha
Target entity description: Micha is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and related to the name Michael.
  • A. Micka
    Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • B. Michahay
    Michahay is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
  • C. Mik
    Mik is the nickname and given name of Mik Kaminski, the English violinist best known for his work with the rock band Electric Light Orchestra.
  • D. Mychael
    Mychael is a Canadian film composer best known for his evocative, world music–influenced scores, including the Academy Award–winning soundtrack for "Life of Pi."
  • E. Michaeli
    Michaeli is a Hebrew-language surname borne by various Israeli public figures, including politicians, academics, and artists.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdd37adc8190b997852563023b11 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07fe9021dc81909081c65135b57e8f completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07ff024fa48190b0d68ad87dc25ef6 completed May 16, 2026, 5:22 a.m.
Created at: April 10, 2026, 1:54 p.m.