Triple

T16457790
Position Surface form Disambiguated ID Type / Status
Subject Mantis E399725 entity
Predicate memberOf P10 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: [Mantis, memberOf, Furious Five]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Furious Five
Context triple: [Mantis, memberOf, 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f51d93081909ede0adcf8e604d4 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.