Triple

T17545626
Position Surface form Disambiguated ID Type / Status
Subject Richard Edson E427317 entity
Predicate notableWork P4 FINISHED
Object Good Morning, Vietnam 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: Good Morning, Vietnam | Statement: [Richard Edson, notableWork, Good Morning, Vietnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Morning, Vietnam
Context triple: [Richard Edson, notableWork, Good Morning, Vietnam]
  • A. Good Morning, Vietnam chosen
    Good Morning, Vietnam is a 1987 comedy-drama film starring Robin Williams as an irreverent radio DJ entertaining U.S. troops during the Vietnam War.
  • B. China Beach
    China Beach is a small, scenic cove and sandy beach in San Francisco known for its views of the Golden Gate Bridge and the Marin Headlands.
  • C. China Beach
    China Beach is an American television drama series set during the Vietnam War that focuses on the lives of medical and military personnel at an evacuation hospital.
  • D. Good Morning, Miami
    Good Morning, Miami is an American sitcom that aired in the early 2000s, following the behind-the-scenes antics of a struggling Miami morning television show.
  • E. An Officer and a Gentleman
    An Officer and a Gentleman is a 1982 romantic drama film about a U.S. Navy aviation officer candidate’s rigorous training and personal transformation, noted for its powerful performances and iconic love story.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45461643881909b106bafb89253b3 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.