Triple

T12060827
Position Surface form Disambiguated ID Type / Status
Subject Frankenweenie (1984 short film) E287163 entity
Predicate mainCharacter P1183 FINISHED
Object Sparky E285264 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: Sparky | Statement: [Frankenweenie (1984 short film), mainCharacter, Sparky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparky
Context triple: [Frankenweenie (1984 short film), mainCharacter, Sparky]
  • A. Sparky
    Sparky is the nickname of Hall of Fame Major League Baseball manager Sparky Anderson, renowned for leading the Cincinnati Reds and Detroit Tigers to World Series championships.
  • B. Sparky chosen
    Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
  • C. Sparky Marcus
    Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
  • D. Scruffy
    Scruffy is the laconic, mustachioed janitor of Planet Express in the animated television series Futurama.
  • E. Sparky the Dragon
    Sparky the Dragon is the costumed dragon mascot who entertains fans at New York Islanders hockey games and team events.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6532a048190b53f96c9df948dda completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.