Triple

T12234056
Position Surface form Disambiguated ID Type / Status
Subject Bad English E291546 entity
Predicate album P1995 FINISHED
Object Bad English E291546 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: Bad English | Statement: [Bad English, album, Bad English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad English
Context triple: [Bad English, album, Bad English]
  • A. Bad English chosen
    Bad English was a late-1980s hard rock supergroup best known for their hit power ballad "When I See You Smile," featuring former members of Journey and The Babys.
  • B. Broken English
    Broken English is a 1979 British comedy film starring Michael Caine and John Clive, known for its satirical take on language and communication.
  • C. Broken English
    "Broken English" is a 2007 romantic comedy-drama film written and directed by Zoe Cassavetes, starring Parker Posey as a disillusioned New Yorker searching for love and meaning in her life.
  • D. Bad Words
    Bad Words is a dark comedy film about a middle-aged man exploiting a loophole to compete in a children's spelling bee, marking Jason Bateman's feature directorial debut.
  • E. BadBadNotGood
    BadBadNotGood is a Canadian instrumental group known for blending jazz, hip hop, and electronic influences in experimental, genre-crossing collaborations.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b893a70819090d4ebb0609e6544 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:51 p.m.