Triple

T16698067
Position Surface form Disambiguated ID Type / Status
Subject The Man from the Alamo E405769 entity
Predicate producer P490 FINISHED
Object Aaron Rosenberg E432463 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: Aaron Rosenberg | Statement: [The Man from the Alamo, producer, Aaron Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Rosenberg
Context triple: [The Man from the Alamo, producer, Aaron Rosenberg]
  • A. Aaron Rosenberg chosen
    Aaron Rosenberg was an American film and television producer best known for his work on mid-20th-century Hollywood features, including several notable war and adventure films.
  • B. Max Rosenberg
    Max Rosenberg was a relative of the renowned British intelligence officer Vera Atkins, who served in the Special Operations Executive during World War II.
  • C. Edgar Rosenberg
    Edgar Rosenberg was a German-born American television producer and executive best known for his work on comedy programs and for being married to comedian Joan Rivers.
  • D. Fred Lebensold
    Fred Lebensold was a prominent Canadian architect best known for designing major cultural and performing arts venues across Canada.
  • E. Herschel Weingrod
    Herschel Weingrod is an American screenwriter best known for co-writing popular 1980s and 1990s comedies such as "Trading Places," "Twins," and "Kindergarten Cop."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.