Triple

T14900350
Position Surface form Disambiguated ID Type / Status
Subject Charlie Salinger E359986 entity
Predicate marriedTo P13 FINISHED
Object Kirsten Bennett 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: Kirsten Bennett | Statement: [Charlie Salinger, marriedTo, Kirsten Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirsten Bennett
Context triple: [Charlie Salinger, marriedTo, Kirsten Bennett]
  • A. Kirsten Bennett chosen
    Kirsten Bennett is a central character from the television drama "Party of Five," known primarily as Charlie Salinger’s long-term love interest and eventual wife.
  • B. Kirsten Nelson
    Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
  • C. Kirsten Sheridan
    Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
  • D. Kirsten Potter
    Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
  • E. Kirsten Blakley
    Kirsten Blakley is a British individual known primarily as the sister of actress Claudie Blakley.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded609bf68819099ca3aa3fe1acadc completed April 15, 2026, 12:04 a.m.
Created at: April 10, 2026, 2:11 a.m.