Triple

T16772397
Position Surface form Disambiguated ID Type / Status
Subject Ronnie Corbett E407630 entity
Predicate notableWork P4 FINISHED
Object Sorry! E835045 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: Sorry! | Statement: [Ronnie Corbett, notableWork, Sorry!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorry!
Context triple: [Ronnie Corbett, notableWork, Sorry!]
  • A. Sorry! chosen
    "Sorry!" is a British television sitcom best known for starring Ronnie Corbett as a middle-aged man still living with his domineering mother.
  • B. Sorry
    "Sorry" is a song by the American rock band Lemonade, known for its blend of indie rock and electronic pop elements.
  • C. Sorry
    "Sorry" is a hit R&B/pop song by Beyoncé, known for its catchy hook and themes of infidelity and empowerment, from her critically acclaimed visual album *Lemonade*.
  • D. Sorry
    "Sorry" is a track from the 2014 album "VII," likely representing one of its notable songs.
  • E. Sorry
    "Sorry" is a 2015 dance-pop song by Canadian singer Justin Bieber that became a global hit and one of his signature tracks.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b036ff788190bd9f166c3f127818 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a5361c3881909be0fb9b83a59993 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.