Triple

T3224911
Position Surface form Disambiguated ID Type / Status
Subject Tommy E67600 entity
Predicate hasSpellingVariant P457 FINISHED
Object Tomi
Tomi is a given name and spelling variant of "Tommy," often used as a diminutive of names like Thomas or Tomás.
 E143480 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: Tomi | Statement: [Tommy, hasSpellingVariant, Tomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomi
Context triple: [Tommy, hasSpellingVariant, Tomi]
  • A. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • B. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • C. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • D. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • E. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • 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: Tomi
Triple: [Tommy, hasSpellingVariant, Tomi]
Generated description
Tomi is a given name and spelling variant of "Tommy," often used as a diminutive of names like Thomas or Tomás.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomi
Target entity description: Tomi is a given name and spelling variant of "Tommy," often used as a diminutive of names like Thomas or Tomás.
  • A. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • B. Tomis
    Tomis was an ancient Greek and later Roman city on the Black Sea coast, in present-day Constanța, Romania, best known as the remote outpost where the poet Ovid was exiled by Emperor Augustus.
  • C. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • D. Tomas chosen
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • E. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • F. None of above.

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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1c51a48190b4a395650528b5d8 completed March 8, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27726f76c819092a199ae07a7e688 completed March 12, 2026, 8:19 a.m.
NEDg Description generation batch_69b277c9faa48190b15c5ca0ec8625a0 completed March 12, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_69b2781855ec819089fbe4fd874115a2 completed March 12, 2026, 8:23 a.m.
Created at: March 8, 2026, 3:08 p.m.