Triple

T19393123
Position Surface form Disambiguated ID Type / Status
Subject Amy Lou Adams E485116 entity
Predicate name P16 FINISHED
Object Amy Lou Adams E485116 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 Lou Adams | Statement: [Amy Lou Adams, name, Amy Lou Adams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Lou Adams
Context triple: [Amy Lou Adams, name, Amy Lou Adams]
  • A. Amy Lou Adams chosen
    Amy Lou Adams is an acclaimed American actress known for her versatile performances in both comedic and dramatic films, including roles in "Enchanted," "American Hustle," and "Arrival."
  • B. Jan Howard
    Jan Howard was an American country music singer and Grand Ole Opry star known for hits like "Evil on Your Mind" and her collaborations with Bill Anderson.
  • C. Amy Rydell
    Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
  • D. Marilyn Vance
    Marilyn Vance is an American costume designer known for her influential work on numerous popular films, including iconic 1980s and 1990s movies.
  • E. Sandy Rodgers
    Sandy Rodgers is the young African American protagonist of Langston Hughes's novel "Not Without Laughter," whose coming-of-age story explores race, family, and identity in early 20th-century Kansas.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b468dd88190acd82b4ee33bd39b completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733c5899c8190bbd380c8f1cfbb80 completed May 15, 2026, 2:55 p.m.
Created at: April 10, 2026, 1:36 p.m.