Triple

T13789798
Position Surface form Disambiguated ID Type / Status
Subject Jane Curtin E331363 entity
Predicate performedIn P795 FINISHED
Object Kate & Allie E933899 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: Kate & Allie | Statement: [Jane Curtin, performedIn, Kate & Allie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate & Allie
Context triple: [Jane Curtin, performedIn, Kate & Allie]
  • A. Kate & Allie chosen
    Kate & Allie is an American sitcom from the 1980s that follows two divorced women who move in together with their children to navigate single parenthood and modern family life.
  • B. Allison & Allison
    Allison & Allison was an American architectural firm known for designing prominent institutional and educational buildings in Southern California in the early 20th century.
  • C. Ben and Kate
    Ben and Kate is an American television sitcom that follows the comedic misadventures of an irresponsible brother who moves in with his uptight single-mother sister.
  • D. Ruth & Alex
    Ruth & Alex is a 2014 comedy-drama film about an elderly New York couple navigating the challenges of selling their longtime Brooklyn apartment.
  • E. Ellies
    The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de024af32c8190a9bd1278e09564ba completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d6b3c88190aa8fb72d8ad9644d completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.