Triple

T11345524
Position Surface form Disambiguated ID Type / Status
Subject Carrie Mathison E268701 entity
Predicate mentor P3665 FINISHED
Object Saul Berenson E1053256 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: Saul Berenson | Statement: [Carrie Mathison, mentor, Saul Berenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saul Berenson
Context triple: [Carrie Mathison, mentor, Saul Berenson]
  • A. Saul Berenson chosen
    Saul Berenson is a seasoned CIA veteran and mentor figure to Carrie Mathison in the television series "Homeland," known for his strategic mind and moral complexity.
  • B. Seymour Boorstein
    Seymour Boorstein was an American psychiatrist and psychoanalyst known for integrating psychoanalytic theory with spirituality and transpersonal psychology.
  • C. Allen Boretz
    Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
  • D. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • E. Stanley Saitowitz
    Stanley Saitowitz is a South African-born American architect known for his minimalist, modernist designs and influential work in contemporary urban architecture.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd191f84bc819096d6cc6167732a98 completed May 7, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:33 p.m.