Triple

T974636
Position Surface form Disambiguated ID Type / Status
Subject Michael E21023 entity
Predicate hasDiminutive P456 FINISHED
Object Micka
Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
 E119222 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: Micka | Statement: [Michael, hasDiminutive, Micka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Micka
Context triple: [Michael, hasDiminutive, Micka]
  • A. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • B. Mick
    Mick is the commonly used nickname of American politician and former White House Chief of Staff Mick Mulvaney.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • E. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • 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: Micka
Triple: [Michael, hasDiminutive, Micka]
Generated description
Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Micka
Target entity description: Micka is a diminutive or affectionate nickname commonly used for the given name Michael.
  • A. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • B. Mick
    Mick is the commonly used nickname of American politician and former White House Chief of Staff Mick Mulvaney.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Michal
    Michal is a biblical figure, a daughter of King Saul who became the first wife of King David in the Hebrew Bible.
  • E. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b460a5c0819087b03dfb8a3af2c2 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3ba14f00819089497240f77acd94 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c21404c8190bf12bb730a1acc54 completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3ccb05f0819080aa215cc1fb2430 completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:40 p.m.