Triple

T20995035
Position Surface form Disambiguated ID Type / Status
Subject Murder by Numbers E517124 entity
Predicate starring P1507 FINISHED
Object Agnes Bruckner 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: Agnes Bruckner | Statement: [Murder by Numbers, starring, Agnes Bruckner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnes Bruckner
Context triple: [Murder by Numbers, starring, Agnes Bruckner]
  • A. Agnes Bruckner chosen
    Agnes Bruckner is an American actress known for her work in film and television, including prominent roles in horror and thriller movies.
  • B. Agnes Harron
    Agnes Harron was a member of the Harron family, known primarily as the sister of early American silent film actor Robert Harron.
  • C. Margaret Loesch
    Margaret Loesch is an American television executive and producer best known for leading and shaping children's programming blocks such as Fox Kids and influencing the rise of 1990s kids' TV.
  • D. Agnes Burtz
    Agnes Burtz was the wife of German philosopher Max Stirner, known primarily through her association with him.
  • E. Agnes Nestor
    Agnes Nestor was an influential American labor leader and social reformer who championed women workers’ rights and helped advance the early 20th-century labor movement.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.