Triple

T6455701
Position Surface form Disambiguated ID Type / Status
Subject The Country Girl E141987 entity
Predicate director P255 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: [The Country Girl, director, George Seaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Seaton
Context triple: [The Country Girl, director, 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. John Seaton
    John Seaton is a fictional character from the 1978 British-American sports drama film "International Velvet."
  • C. Joseph McHardy
    Joseph McHardy is a musician and choral director known for his work with prominent British church and cathedral choirs.
  • D. George Moran
    George Moran is an American physician best known as the husband of journalist and author Tatiana Schlossberg, the granddaughter of President John F. Kennedy.
  • E. 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.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069d4d588819090e8a56c46c0bfe9 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723aba0f0819091ba9aa4184bf1d5 completed March 28, 2026, 12:41 a.m.
Created at: March 22, 2026, 4:48 p.m.