Triple

T15977248
Position Surface form Disambiguated ID Type / Status
Subject Lyutsifer Safin E387479 entity
Predicate kidnaps P23387 FINISHED
Object Madeline Swann E250908 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: Madeline Swann | Statement: [Lyutsifer Safin, kidnaps, Madeline Swann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madeline Swann
Context triple: [Lyutsifer Safin, kidnaps, Madeline Swann]
  • A. Madeleine Swann chosen
    Madeleine Swann is a French psychologist and the primary Bond girl and love interest of James Bond in the Daniel Craig-era films "Spectre" and "No Time to Die."
  • B. Rachel Armitage
    Rachel Armitage is a British academic and criminologist known for her research on crime prevention and designing out crime in the built environment.
  • C. Alice Cullen
    Alice Cullen is a clairvoyant, fashion-loving vampire and member of the Cullen family in the Twilight series, known for her close bond with Bella Swan.
  • D. Rosalie Ludlow
    Rosalie Ludlow was the wife of renowned 19th-century American landscape painter Albert Bierstadt and a figure within the cultural circles surrounding his artistic career.
  • E. Claire Belmont
    Claire Belmont is a central character in the science fiction story "Satisfaction Guaranteed," notable for her involvement with experimental robotics and the emotional complexities that arise from human-robot interactions.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157521f6c8190a54023b5ee6fc033 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8e4124819084c2937f532f5ab5 completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.