Triple

T13859005
Position Surface form Disambiguated ID Type / Status
Subject Baby Mama E333138 entity
Predicate director P255 FINISHED
Object Michael McCullers E303304 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: Michael McCullers | Statement: [Baby Mama, director, Michael McCullers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McCullers
Context triple: [Baby Mama, director, Michael McCullers]
  • A. Michael McCullers chosen
    Michael McCullers is an American screenwriter best known for his work on comedy films such as the Austin Powers series and various animated features.
  • B. Michael McCusker
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • C. Jeffrey Himes
    Jeffrey Himes is a musician best known for having been a past member of the indie rock band Okkervil River.
  • D. Mark McCorkle
    Mark McCorkle is an American television writer and producer best known as the co-creator of the animated series "Kim Possible" and for his work on various other animated projects.
  • E. Mike McGlone
    Mike McGlone is an American actor and author best known for his roles in films like "The Brothers McMullen" and "She's the One," as well as for his distinctive voiceover work in television commercials.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6c0c3c8190911b56b20c9eb955 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.