Triple

T9980228
Position Surface form Disambiguated ID Type / Status
Subject Salem's Lot (2004 miniseries) E196430 entity
Predicate character P662 FINISHED
Object Susan Norton E221579 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: Susan Norton | Statement: [Salem's Lot (2004 miniseries), character, Susan Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Norton
Context triple: [Salem's Lot (2004 miniseries), character, Susan Norton]
  • A. Susan Norton chosen
    Susan Norton is a central protagonist in Stephen King’s horror novel "Salem’s Lot," known for her involvement in uncovering and confronting the vampire infestation in the town.
  • B. Julie Robinson
    Julie Robinson is a former American dancer and actress best known as the longtime wife of singer and civil rights activist Harry Belafonte.
  • C. Jean Rogers
    Jean Rogers is known as the wife of American country music singer and songwriter Kenny Rogers.
  • D. Kathryn Bostic
    Kathryn Bostic is an American composer and pianist known for her evocative film and theater scores, particularly in independent cinema and stage productions.
  • E. Vonda N. McIntyre
    Vonda N. McIntyre was an American science fiction author known for her award-winning original works and for writing several influential Star Trek novels.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8b9aca881908a9b5dfd7e0de4ba completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a08a60c81909be30a442787328b completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:49 p.m.