Triple

T15219943
Position Surface form Disambiguated ID Type / Status
Subject Al Higgins E363738 entity
Predicate notableWork P4 FINISHED
Object Mike & Molly E423052 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: Mike & Molly | Statement: [Al Higgins, notableWork, Mike & Molly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike & Molly
Context triple: [Al Higgins, notableWork, Mike & Molly]
  • A. Mike & Molly chosen
    Mike & Molly is an American sitcom that follows the relationship and everyday lives of a Chicago couple who meet at an Overeaters Anonymous meeting.
  • B. Hot in Cleveland
    Hot in Cleveland is an American sitcom about three Los Angeles women who relocate to Cleveland, Ohio, where they find a more welcoming dating scene and a new life, co-starring Betty White as their sharp-tongued caretaker.
  • C. Modern Family
    Modern Family is a popular American mockumentary-style sitcom that follows the interconnected lives of an extended family in suburban Los Angeles.
  • D. Melissa & Joey
    Melissa & Joey is an American sitcom that follows a local politician who hires a male nanny to help raise her niece and nephew, leading to comedic domestic chaos.
  • E. The John Larroquette Show
    The John Larroquette Show is a 1990s American sitcom starring John Larroquette as a recovering alcoholic managing a St. Louis bus station, known for its dark humor and offbeat tone.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.