Triple

T21846170
Position Surface form Disambiguated ID Type / Status
Subject Body E539379 entity
Predicate album P1995 FINISHED
Object Good News 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: Good News | Statement: [Body, album, Good News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good News
Context triple: [Body, album, Good News]
  • A. Good News
    "Good News" is a 1947 MGM musical film starring Peter Lawford and June Allyson, set on a college campus and known for its lively song-and-dance numbers and lighthearted romantic comedy.
  • B. Good News chosen
    Good News is the debut studio album by American rapper Megan Thee Stallion, featuring hit singles like "Savage Remix" and "Body."
  • C. Great News
    Great News is an American television sitcom created by Tracey Wigfield that follows a cable news producer whose overbearing mother becomes an intern at her workplace.
  • D. No Bad News
    "No Bad News" is a song by American singer-songwriter Bonnie "Prince" Billy from his 2006 album *The Letting Go*, known for its introspective lyrics and sparse, folk-influenced arrangement.
  • E. Good Newwz
    Good Newwz is a 2019 Hindi comedy-drama film about two couples entangled in a chaotic IVF mix-up, starring Akshay Kumar, Kareena Kapoor Khan, Diljit Dosanjh, and Kiara Advani.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd546fb48190a7b815233650c2e7 completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.