Triple

T3150397
Position Surface form Disambiguated ID Type / Status
Subject John Belushi E65862 entity
Predicate notableWork P4 FINISHED
Object Neighbors E302316 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: Neighbors | Statement: [John Belushi, notableWork, Neighbors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neighbors
Context triple: [John Belushi, notableWork, Neighbors]
  • A. Neighbors
    Neighbors is a 2014 comedy film about a young couple with a newborn baby whose peaceful suburban life is disrupted when a rowdy fraternity moves in next door.
  • B. Neighbors
    "Neighbors" is a socially conscious hip-hop track by J. Cole that critiques racial profiling and surveillance in affluent neighborhoods.
  • C. Neighbors chosen
    Neighbors is a 1981 dark comedy film directed by John G. Avildsen, starring John Belushi and Dan Aykroyd as feuding suburban neighbors whose lives spiral into chaos.
  • D. The Neighborhood
    "The Neighborhood" is a track by American rapper Common from his 2014 album "Nobody's Smiling," which reflects on life and struggles in Chicago's inner-city communities.
  • E. Cousins
    Cousins is one of the short, conversational vignettes in Jim Jarmusch’s film Coffee and Cigarettes, featuring characters chatting over drinks and smokes in a minimalist, deadpan style.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.