Triple

T15691272
Position Surface form Disambiguated ID Type / Status
Subject Judah Rosenthal E380334 entity
Predicate seeksHelpFrom P31442 FINISHED
Object Jack Rosenthal E540135 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: Jack Rosenthal | Statement: [Judah Rosenthal, seeksHelpFrom, Jack Rosenthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Rosenthal
Context triple: [Judah Rosenthal, seeksHelpFrom, Jack Rosenthal]
  • A. Jack Rosenthal chosen
    Jack Rosenthal was a British playwright and screenwriter renowned for his television dramas and film work, including contributions to acclaimed adaptations and character-driven stories.
  • B. Lyova Haskell Rosenthal
    Lyova Haskell Rosenthal is the birth name of American actress and director Lee Grant, known for her acclaimed film and television career and for overcoming Hollywood blacklisting.
  • C. Max Rosenthal
    Max Rosenthal is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Rosenthal.
  • D. Tom Rosenthal
    Tom Rosenthal is a British comedian and actor best known for his role as Jonny Goodman in the sitcom "Friday Night Dinner."
  • E. Irving Gertz
    Irving Gertz was an American film composer known for scoring mid-20th-century Hollywood movies, particularly war and science fiction films.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ee580c819082ad53db6da91f66 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:44 a.m.