Triple

T8113743
Position Surface form Disambiguated ID Type / Status
Subject Marissa Ribisi E189418 entity
Predicate notableWork P4 FINISHED
Object Dads E153630 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: Dads | Statement: [Marissa Ribisi, notableWork, Dads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dads
Context triple: [Marissa Ribisi, notableWork, Dads]
  • A. Dads (TV series) chosen
    Dads is an American sitcom that follows two successful video game developers whose lives are upended when their immature, overbearing fathers move in with them.
  • B. Dad
    Dad is a character from the British animated children's television series "Dot.," serving as the supportive and caring father of the show's young protagonist.
  • C. DAD
    DAD is the IATA airport code for Da Nang International Airport, a major commercial airport serving Da Nang and central Vietnam.
  • D. Dadzie
    Dadzie is a Ghanaian surname commonly borne by individuals of Ga or Fante heritage.
  • E. Other Father
    Other Father is a doppelgänger parental figure created by the Other Mother in Neil Gaiman’s "Coraline," appearing as a seemingly kind but ultimately controlled and unsettling version of Coraline’s real father.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432f2a24819097be6ab9b03567bd completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.