Triple

T17463290
Position Surface form Disambiguated ID Type / Status
Subject The Italian Stallion E425210 entity
Predicate notableOpponent P893 FINISHED
Object Tommy Gunn NE NERFINISHED

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 Gunn | Statement: [The Italian Stallion, notableOpponent, Tommy Gunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Gunn
Context triple: [The Italian Stallion, notableOpponent, Tommy Gunn]
  • A. Tommy Gunn chosen
    Tommy Gunn is a fictional heavyweight boxer who becomes Rocky Balboa’s protégé-turned-rival in the film "Rocky V."
  • B. 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.
  • C. Tommy Gormley
    Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
  • D. Tommy Larson
    Tommy Larson is a fictional character known as the brother of Claudia Larson in the 1995 film "Home for the Holidays."
  • E. Tommy Angelo
    Tommy Angelo is the central character of the video game Mafia, a former taxi driver who becomes deeply involved in organized crime during the 1930s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a4c36c81909c7c4b1b0d976921 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.