Triple

T12694851
Position Surface form Disambiguated ID Type / Status
Subject Michael McCullers E303304 entity
Predicate wrote P2831 FINISHED
Object Baby Mama E333138 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: Baby Mama | Statement: [Michael McCullers, wrote, Baby Mama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baby Mama
Context triple: [Michael McCullers, wrote, Baby Mama]
  • A. Baby Mama
    "Baby Mama" is a song featured on the album B7 by American singer and actress Brandy.
  • B. Baby Mama chosen
    Baby Mama is a 2008 American comedy film starring Tina Fey and Amy Poehler about a single career woman who hires a quirky surrogate to carry her baby.
  • C. Baby Daddy
    Baby Daddy is an American sitcom that follows a young man unexpectedly becoming a single father when a baby is left on his doorstep, forcing him to raise the child with the help of his friends and family.
  • D. Bad Moms
    Bad Moms is a 2016 American comedy film that follows an overworked mother who rebels against conventional parenting expectations, leading to wild misadventures with two fellow moms.
  • E. Big Momma's House 2
    Big Momma's House 2 is a 2006 comedy film and sequel to Big Momma's House, featuring Martin Lawrence as an undercover FBI agent who disguises himself as an elderly woman to solve a case.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7c4c608190a1786accf8d86141 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:22 p.m.