Triple

T18416079
Position Surface form Disambiguated ID Type / Status
Subject Sherman Klump E441892 entity
Predicate loveInterest P7325 FINISHED
Object Carla Purty 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: Carla Purty | Statement: [Sherman Klump, loveInterest, Carla Purty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Purty
Context triple: [Sherman Klump, loveInterest, Carla Purty]
  • A. Carla Purty chosen
    Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
  • B. Carrie Preston
    Carrie Preston is an American actress and director known for her versatile character roles in film and television, including standout performances in series like "True Blood" and "The Good Wife."
  • C. Carrie Daumery
    Carrie Daumery was a Belgian-born American character actress of the silent and early sound film era, known for her numerous supporting roles in Hollywood productions.
  • D. Carla Wilks
    Carla Wilks is the mother of Anastasia Steele in the Fifty Shades of Grey series.
  • E. Tina Carlyle
    Tina Carlyle is the glamorous nightclub singer and primary love interest portrayed by Cameron Diaz in the 1994 comedy film "The Mask."
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.