Triple

T12668034
Position Surface form Disambiguated ID Type / Status
Subject Sam Wheat E302606 entity
Predicate loveInterest P7325 FINISHED
Object Molly Jensen E327418 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: Molly Jensen | Statement: [Sam Wheat, loveInterest, Molly Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Jensen
Context triple: [Sam Wheat, loveInterest, Molly Jensen]
  • A. Molly Jensen chosen
    Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
  • B. Molly Punderson
    Molly Punderson was the wife of American illustrator Norman Rockwell and a figure in his early personal life and career.
  • C. Molly Marlene Stensgaard
    Molly Marlene Stensgaard is a Danish film editor best known for her long-standing collaboration with director Lars von Trier on several of his critically acclaimed films.
  • D. Beth Johanssen
    Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
  • E. Molly Davis
    Molly Davis is a minor character in Pixar's Toy Story films, known as the younger sister of Andy who eventually becomes the new owner of several of his beloved toys.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af47b3d48190923e731c3733428a completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:20 p.m.