Triple

T16271702
Position Surface form Disambiguated ID Type / Status
Subject Ted McCord E395014 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: [Ted McCord, notableWork, Johnny Belinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Belinda
Context triple: [Ted McCord, 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460a4f7c8190a614c11f7eaa0a7a completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da0a2908190923e61bdeb92567d completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.