Triple

T17626088
Position Surface form Disambiguated ID Type / Status
Subject Paul Kellerman E429845 entity
Predicate associatedWith P37 FINISHED
Object Caroline Reynolds 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: Caroline Reynolds | Statement: [Paul Kellerman, associatedWith, Caroline Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Reynolds
Context triple: [Paul Kellerman, associatedWith, Caroline Reynolds]
  • A. Caroline Reynolds chosen
    Caroline Reynolds is a powerful and manipulative U.S. Vice President-turned-President in the TV series "Prison Break," central to the show's political conspiracy.
  • B. Caroline Pearson
    Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
  • C. Caroline Ellis
    Caroline Ellis is a British actress and singer best known for playing Joy in the early 1970s children's television series "The Bugaloos."
  • D. Caroline Spencer
    Caroline Spencer is a fictional character from the soap opera "The Bold and the Beautiful," known for her romantic entanglements and central role in the Forrester family drama.
  • E. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbc62e88190b9757dc7c52d7fee completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.