Triple

T21643576
Position Surface form Disambiguated ID Type / Status
Subject Monty Bodkin E534155 entity
Predicate romanticInterest P7325 FINISHED
Object Sue Brown 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: Sue Brown | Statement: [Monty Bodkin, romanticInterest, Sue Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Brown
Context triple: [Monty Bodkin, romanticInterest, Sue Brown]
  • A. Sue Brown chosen
    Sue Brown is a spirited and charming young woman in P. G. Wodehouse’s Blandings Castle stories, notably involved in romantic and comedic entanglements.
  • B. Sue Wilkins
    Sue Wilkins is a central character in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," known for her role in the lunar tourism disaster that drives the story’s plot.
  • C. Sue Johnston
    Sue Johnston is an English actress best known for her roles in television dramas such as "Brookside," "The Royle Family," and "Waking the Dead."
  • D. Carole Brown
    Carole Brown is the grandmother of LaPrincia Brown, who is known as the daughter of singer Bobby Brown.
  • E. Anne Brown
    Anne Brown is a fictional character from the film "Two English Girls," a romantic drama by François Truffaut.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53930644819086b0f499e1b8ae63 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.