Triple

T15026840
Position Surface form Disambiguated ID Type / Status
Subject Leighton Meester E378238 entity
Predicate featuredOnSong P71140 FINISHED
Object Good Girls Go Bad E1057205 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: Good Girls Go Bad | Statement: [Leighton Meester, featuredOnSong, Good Girls Go Bad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Girls Go Bad
Context triple: [Leighton Meester, featuredOnSong, Good Girls Go Bad]
  • A. Good Girls Go Bad chosen
    "Good Girls Go Bad" is a pop-rap song by American rapper Game featured on his 2011 album *The R.E.D. Album*.
  • B. Goodtime Girls
    Goodtime Girls is an early-1980s American sitcom that followed the comedic misadventures of young women sharing an apartment during World War II.
  • C. Good Girls
    Good Girls is an American dark comedy-drama television series about three suburban mothers who turn to crime to solve their financial problems.
  • D. Good Girls
    "Good Girls" is a pop-rock song by Australian band 5 Seconds of Summer, known for its catchy hooks and themes of defying good-girl stereotypes.
  • E. Rich Girls
    Rich Girls is an MTV reality television series that followed Ally Hilfiger and her friend Jaime Gleicher as they navigated their privileged lives in New York City.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7dfcb508190aec8cd667e27a8ea completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd746008190a7347368ee6d20cf completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.