Triple

T8450982
Position Surface form Disambiguated ID Type / Status
Subject Beautiful Boy E199796 entity
Predicate starring P1507 FINISHED
Object Amy Ryan E268616 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: Amy Ryan | Statement: [Beautiful Boy, starring, Amy Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Ryan
Context triple: [Beautiful Boy, starring, Amy Ryan]
  • A. Amy Ryan chosen
    Amy Ryan is an American actress acclaimed for her versatile film, television, and stage performances, including an Oscar-nominated role in "Gone Baby Gone."
  • B. Anne Bancroft
    Anne Bancroft was an acclaimed American actress best known for her Academy Award–winning performance in "The Miracle Worker" and her iconic role as Mrs. Robinson in "The Graduate."
  • C. Kathy Bates
    Kathy Bates is an acclaimed American actress known for her powerful, often intense performances, including her Oscar-winning role in the psychological thriller "Misery."
  • D. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • E. Mary McDonnell
    Mary McDonnell is an American actress known for her acclaimed film and television roles, including her work in dramas and science fiction such as "Dances with Wolves" and "Battlestar Galactica."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42328b0c8190869e68226e0b467f completed April 3, 2026, 4:29 a.m.
Created at: March 30, 2026, 6:09 p.m.