Triple

T6087784
Position Surface form Disambiguated ID Type / Status
Subject Medo E135682 entity
Predicate hasSpellingVariant P457 FINISHED
Object Mido
Mido is a spelling variant of the name Medo, often used as a given name or nickname in various cultures.
 E566106 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: Mido | Statement: [Medo, hasSpellingVariant, Mido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mido
Context triple: [Medo, hasSpellingVariant, Mido]
  • A. Zenith
    Zenith is a global media agency network specializing in media planning and buying, operating as part of the French advertising and communications conglomerate Publicis Groupe.
  • B. Zenith
    Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
  • C. Zeiger
    Zeiger is the birth surname of famed American television and radio host Larry King.
  • D. Seiko
    Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
  • E. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • 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: Mido
Triple: [Medo, hasSpellingVariant, Mido]
Generated description
Mido is a spelling variant of the name Medo, often used as a given name or nickname in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mido
Target entity description: Mido is a spelling variant of the name Medo, often used as a given name or nickname in various cultures.
  • A. Zenith
    Zenith is a global media agency network specializing in media planning and buying, operating as part of the French advertising and communications conglomerate Publicis Groupe.
  • B. Zenith
    Zenith is a Swiss luxury watch manufacturer renowned for its high-precision mechanical movements and chronographs.
  • C. Zeiger
    Zeiger is the birth surname of famed American television and radio host Larry King.
  • D. Seiko
    Seiko is a Japanese given name commonly used for women and borne by various notable figures in politics, entertainment, and sports.
  • E. Longines
    Longines is a Swiss luxury watchmaker renowned for its elegant timepieces and long-standing association with equestrian sports and precision timekeeping.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578bf2508190859c2dbd4c10b316 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d65908c8190a9700c0981dabe9a completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dfb27bc81908c7109debc73249d completed March 23, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69c11e7a5e7881908d5cc70cc11a58cd completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:12 p.m.