Triple

T5398915
Position Surface form Disambiguated ID Type / Status
Subject Miracle on 34th Street (1994 film) E120725 entity
Predicate screenwriter P2831 FINISHED
Object George Seaton E236328 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: George Seaton | Statement: [Miracle on 34th Street (1994 film), screenwriter, George Seaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Seaton
Context triple: [Miracle on 34th Street (1994 film), screenwriter, George Seaton]
  • A. George Seaton chosen
    George Seaton was an American screenwriter, director, and producer best known for films such as "Miracle on 34th Street" and "Airport."
  • B. Joseph McHardy
    Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
  • C. Ernest Haycox
    Ernest Haycox was an American author renowned for his prolific and influential Western fiction, several of whose stories were adapted into classic Hollywood films.
  • D. George Ward
    George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
  • E. J. Carrol Naish
    J. Carrol Naish was an American character actor known for his prolific film career from the 1930s to the 1960s, often portraying ethnically diverse roles and earning multiple Academy Award nominations.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87499ec4819086f8292625b56f96 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70cf8dc881908719788e1cc4c83e completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:04 p.m.