Triple

T21074466
Position Surface form Disambiguated ID Type / Status
Subject Benedict John Greenwood E519194 entity
Predicate notableWork P4 FINISHED
Object Mad Dogs NE NERFINISHED

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: Mad Dogs | Statement: [Benedict John Greenwood, notableWork, Mad Dogs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad Dogs
Context triple: [Benedict John Greenwood, notableWork, Mad Dogs]
  • A. Mad Dogs chosen
    Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
  • B. Mad Dog
    Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
  • C. Black Dogs
    "Black Dogs" is a 1992 novel by Ian McEwan that explores the aftermath of World War II and the clash between rationalism and spiritual belief through the story of a troubled marriage.
  • D. Mad Dog and Glory
    Mad Dog and Glory is a 1993 dark comedy-crime film starring Robert De Niro, Uma Thurman, and Bill Murray, blending offbeat humor with a quirky romantic storyline.
  • E. Dog Eat Dog
    Dog Eat Dog is an American band known for blending hardcore punk, hip hop, and funk, and for its energetic, horn-driven sound that gained popularity in the 1990s alternative scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b506e59c8190849b71ed07929215 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e702d5ae908190ab5303e39443d729 completed April 21, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:48 p.m.