Triple

T14192082
Position Surface form Disambiguated ID Type / Status
Subject Tai Lung E351735 entity
Predicate enemy P4567 FINISHED
Object Furious Five E828471 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: Furious Five | Statement: [Tai Lung, enemy, Furious Five]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furious Five
Context triple: [Tai Lung, enemy, Furious Five]
  • A. Furious Five chosen
    The Furious Five are a team of elite kung fu masters in the Kung Fu Panda franchise, each embodying a different fighting style and animal.
  • B. The Furious Five
    The Furious Five were a pioneering hip hop group from the South Bronx best known for their work with Grandmaster Flash and their influential socially conscious track "The Message."
  • C. F.I.S.T.
    F.I.S.T. is a 1978 American drama film loosely inspired by the rise of labor leader Jimmy Hoffa, starring Sylvester Stallone as a warehouse worker who becomes a powerful union boss.
  • D. Young Ones
    Young Ones is a film for which composer Nathan Johnson created the musical score.
  • E. Gidget
    Gidget is a 1960s American TV sitcom about a fun-loving teenage surfer girl, widely recognized for launching Sally Field’s career.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.