Triple

T2011191
Position Surface form Disambiguated ID Type / Status
Subject Michaels E43689 entity
Predicate hasVariant P455 FINISHED
Object Michels
Michels is a surname and variant spelling of Michaels, borne by various individuals across different cultures.
 E227331 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: Michels | Statement: [Michaels, hasVariant, Michels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michels
Context triple: [Michaels, hasVariant, Michels]
  • 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. Mott
    Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
  • C. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • D. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • E. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • 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: Michels
Triple: [Michaels, hasVariant, Michels]
Generated description
Michels is a surname and variant spelling of Michaels, borne by various individuals across different cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michels
Target entity description: Michels is a surname and variant spelling of Michaels, borne by various individuals across different cultures.
  • 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. Mott
    Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
  • C. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • D. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • E. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b150a8819096c919465fd91ab5 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae85ed48190adc75fd17b17f6c9 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b76f0fc8190bb5f40689ee7f8fe completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c586bd88190ae23e84291d2fe81 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:37 p.m.