Triple

T3301189
Position Surface form Disambiguated ID Type / Status
Subject Snatch E69334 entity
Predicate mainCharacter P1183 FINISHED
Object Tommy 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: Tommy | Statement: [Snatch, mainCharacter, Tommy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy
Context triple: [Snatch, mainCharacter, Tommy]
  • 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 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.
  • D. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • E. Tommy Taylor
    Tommy Taylor was an English footballer and prolific centre-forward for Manchester United and the England national team in the 1950s.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325033aa88190a6b54b767f83fa24 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.