Triple

T5557201
Position Surface form Disambiguated ID Type / Status
Subject Heavy Weather E145673 entity
Predicate featuresCharacter P626 FINISHED
Object Sue Brown E230271 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: Sue Brown | Statement: [Heavy Weather, featuresCharacter, Sue Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Brown
Context triple: [Heavy Weather, featuresCharacter, 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. Suzanne Todd
    Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
  • E. Suzanne Surtees
    Suzanne Surtees is the daughter of acclaimed American cinematographer Bruce Surtees.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ffe12cc81908186f28ace0f4d82 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059ebd4008190ba410fac13900fe0 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:36 p.m.