Triple

T12171604
Position Surface form Disambiguated ID Type / Status
Subject Robin Givens E289979 entity
Predicate notableWork P4 FINISHED
Object Blankman E918918 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: Blankman | Statement: [Robin Givens, notableWork, Blankman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blankman
Context triple: [Robin Givens, notableWork, Blankman]
  • A. Blankman chosen
    Blankman is a 1994 superhero comedy film starring Damon Wayans as a nerdy, self-made crimefighter in a parody of traditional comic-book heroes.
  • B. The Other Guy
    The Other Guy is an Australian comedy television series that follows a radio host rebuilding his life after a messy breakup, created and directed by filmmaker Gracie Otto.
  • C. Stick Man
    Stick Man is a popular children's picture book, written by Julia Donaldson and illustrated by Axel Scheffler, about a stick figure's adventurous journey to reunite with his family.
  • D. Duffle Bag Boy
    "Duffle Bag Boy" is a 2007 Southern hip hop single by Playaz Circle featuring Lil Wayne, best known for its catchy hook and depiction of street hustling.
  • E. Maximum Bob
    Maximum Bob is a crime novel by Elmore Leonard that blends dark humor with a story about a hardline Florida judge entangled in quirky, dangerous situations.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.