Triple

T11051983
Position Surface form Disambiguated ID Type / Status
Subject Joseph Ruttenberg E261277 entity
Predicate name P16 FINISHED
Object Joseph Ruttenberg E261277 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: Joseph Ruttenberg | Statement: [Joseph Ruttenberg, name, Joseph Ruttenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Ruttenberg
Context triple: [Joseph Ruttenberg, name, Joseph Ruttenberg]
  • A. Joseph Ruttenberg chosen
    Joseph Ruttenberg was an acclaimed American cinematographer, best known for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Cinematography.
  • B. Louis Rosen
    Louis Rosen is a screenwriter best known for co-writing the science fiction film "Enemy Mine."
  • C. Julius R. Weinberg
    Julius R. Weinberg is a British academic and educational leader known for serving as Vice-Chancellor of Kingston University and later as Chair of Ofsted.
  • D. Julius Weingarten
    Julius Weingarten was a 19th-century German mathematician known for his contributions to differential geometry, particularly in the study of surfaces.
  • E. George Aaronow
    George Aaronow is a timid, aging real estate salesman in David Mamet’s play and film "Glengarry Glen Ross," known for his nervous demeanor and moral hesitation amid the cutthroat sales environment.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7986c0df88190b29d71db5538450a completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:26 p.m.