Triple

T13920683
Position Surface form Disambiguated ID Type / Status
Subject Jerry Wald E334732 entity
Predicate notableWork P4 FINISHED
Object Johnny Belinda E91757 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: Johnny Belinda | Statement: [Jerry Wald, notableWork, Johnny Belinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Belinda
Context triple: [Jerry Wald, notableWork, Johnny Belinda]
  • A. Johnny Belinda chosen
    "Johnny Belinda" is a 1948 drama film best known for Jane Wyman’s Oscar-winning performance as a deaf-mute woman living in a small Nova Scotia fishing village.
  • B. Malvina Reynolds
    Malvina Reynolds was an American folk singer-songwriter and political activist best known for her socially conscious songs like "Little Boxes" that became emblematic of the 1960s folk music revival.
  • C. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • D. Nellybelle
    Nellybelle is the famously cantankerous World War II-era Jeep driven by Pat Brady on the classic television series "The Roy Rogers Show."
  • E. Nonnie
    Nonnie is a diminutive or affectionate nickname commonly used for the given name Donna.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa428ac819084e7c4b244d15f20 completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.