Triple

T19038818
Position Surface form Disambiguated ID Type / Status
Subject Strangers with Candy E465946 entity
Predicate creator P184 FINISHED
Object Mitch Rouse NE NERFINISHED

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: Mitch Rouse | Statement: [Strangers with Candy, creator, Mitch Rouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitch Rouse
Context triple: [Strangers with Candy, creator, Mitch Rouse]
  • A. Mitch Rouse chosen
    Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
  • B. Andy Rouse
    Andy Rouse is a renowned British touring car racing driver best known for his multiple championship titles and success in European and British touring car competitions.
  • C. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • D. Mike Burrows
    Mike Burrows is a computer scientist best known for his influential work at Google on large-scale distributed systems, including co-authoring the Bigtable storage system.
  • E. Michael Malarkey
    Michael Malarkey is a British-American actor and musician best known for his roles in television series such as The Vampire Diaries and historical dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7ff9b6c8190adc3917a8c9af7bd completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:02 p.m.