Triple

T3224890
Position Surface form Disambiguated ID Type / Status
Subject Tommy E67600 entity
Predicate hasVariant P455 FINISHED
Object Tommyy E67600 NE FINISHED

How this triple was built (2 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: Tommyy | Statement: [Tommy, hasVariant, Tommyy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommyy
Context triple: [Tommy, hasVariant, Tommyy]
  • A. Tommy chosen
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • B. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • C. Tommy Gunn
    Tommy Gunn is a fictional heavyweight boxer who becomes Rocky Balboa’s protégé-turned-rival in the film "Rocky V."
  • D. Tommy Hawk
    Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
  • E. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 8, 2026, 3:08 p.m.