Triple

T20487846
Position Surface form Disambiguated ID Type / Status
Subject I've Still Got My Health E502648 entity
Predicate fromMusical P21695 FINISHED
Object Panama Hattie 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: Panama Hattie | Statement: [I've Still Got My Health, fromMusical, Panama Hattie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama Hattie
Context triple: [I've Still Got My Health, fromMusical, Panama Hattie]
  • A. Panama Hattie chosen
    Panama Hattie is a 1940 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and lighthearted story set in the Panama Canal Zone.
  • B. Misis
    Misis is an ancient city in modern-day Turkey, historically known as Mopsuestia, which was an important settlement in the Cilicia region through Hellenistic, Roman, and Byzantine times.
  • C. Mrs. Jumbo
    Mrs. Jumbo is the loving elephant mother in Disney’s animated film "Dumbo," best known for her fierce devotion to her son despite his unusually large ears.
  • D. Havana Brown
    Havana Brown is an Australian DJ, singer, and producer best known for her dance-pop hits and energetic club performances.
  • E. Tetty
    Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5c6f84819087d813be3542ed33 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.