Triple

T10681242
Position Surface form Disambiguated ID Type / Status
Subject Look Who’s Talking E251759 entity
Predicate mainCharacter P1183 FINISHED
Object Mollie 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: Mollie Jensen | Statement: [Look Who’s Talking, mainCharacter, Mollie Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mollie Jensen
Context triple: [Look Who’s Talking, mainCharacter, Mollie 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 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.
  • C. Martha Nielsen
    Martha Nielsen is a central character in the German sci-fi thriller series "Dark," whose complex relationships and time-travel entanglements are pivotal to the show's overarching mystery.
  • D. Malvina Poulsen
    Malvina Poulsen was the wife of English character actor H. B. Warner, known for his roles in early 20th-century stage and film productions.
  • E. Josephine Skriver
    Josephine Skriver is a Danish fashion model best known for her high-profile runway and print work, including serving as a Victoria’s Secret Angel.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbacf1a43c8190869f4a64f9d6a26c completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:10 p.m.