Triple

T11317564
Position Surface form Disambiguated ID Type / Status
Subject Joseph Stein E268004 entity
Predicate work P12692 FINISHED
Object Enter Laughing E739977 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: Enter Laughing | Statement: [Joseph Stein, work, Enter Laughing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enter Laughing
Context triple: [Joseph Stein, work, Enter Laughing]
  • A. Enter Laughing chosen
    Enter Laughing is a semi-autobiographical comedic novel by Carl Reiner about a young man's early struggles to break into show business.
  • B. The Sound of Laughter
    The Sound of Laughter is the bestselling autobiography of British comedian Peter Kay, chronicling his early life and rise in stand-up comedy with his trademark observational humor.
  • C. Who’s Laughing Now
    "Who’s Laughing Now" is a pop song by English singer Jessie J that addresses bullying and empowerment through its defiant, self-affirming lyrics.
  • D. The Laugh’s on Me
    "The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
  • E. Always Leave Them Laughing
    Always Leave Them Laughing is a 1949 comedy film starring Milton Berle as an ambitious but unscrupulous nightclub comic.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.