Triple

T6586196
Position Surface form Disambiguated ID Type / Status
Subject Joe Gibbs E159230 entity
Predicate memberOf P10 FINISHED
Object The Mighty Two E159231 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: The Mighty Two | Statement: [Joe Gibbs, memberOf, The Mighty Two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Mighty Two
Context triple: [Joe Gibbs, memberOf, The Mighty Two]
  • A. The Mighty Two chosen
    The Mighty Two is a Jamaican reggae and dub production duo best known for their influential work in the 1970s with artists such as Culture.
  • B. The Mighty
    The Mighty is a 1998 drama film about the friendship between two misfit boys, based on the novel "Freak the Mighty" by Rodman Philbrick.
  • C. How the Mighty Fall
    How the Mighty Fall is the second solo studio album by English singer Mark Owen, known for its melodic pop sound and introspective songwriting.
  • D. Two Can Win
    "Two Can Win" is a soulful, sample-driven hip-hop track by J Dilla from his acclaimed album "Donuts."
  • E. Big Two
    Big Two is a popular East Asian shedding-type card game, especially common in Chinese communities, where players race to be the first to discard all their cards using poker-like combinations.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeae89308190a26cf090a9b6cf2b completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d576ab288190ac7e7b58e974697c completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.