Triple

T6208591
Position Surface form Disambiguated ID Type / Status
Subject Tommy Ross E138809 entity
Predicate romanticPartner P9994 FINISHED
Object Sue Snell E223295 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 Snell | Statement: [Tommy Ross, romanticPartner, Sue Snell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sue Snell
Context triple: [Tommy Ross, romanticPartner, Sue Snell]
  • A. Sue Snell chosen
    Sue Snell is a remorseful high school student in Stephen King’s novel "Carrie," whose attempt to atone for bullying the title character inadvertently contributes to the story’s tragic climax.
  • 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 Ann Thompson
    Sue Ann Thompson is an American advocate and former First Lady of Wisconsin, known for her work in women's health and as the longtime wife of politician Tommy Thompson.
  • D. 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."
  • E. Susie Lewis
    Susie Lewis is an animator and producer best known for her work on the MTV animated series "Daria."
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712707de88190b408ab01dd025954 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 4:21 p.m.