Triple

T20286803
Position Surface form Disambiguated ID Type / Status
Subject Sara Sugarman E509901 entity
Predicate directed P7373 FINISHED
Object Very Annie Mary NE NERFINISHED

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: Very Annie Mary | Statement: [Sara Sugarman, directed, Very Annie Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Very Annie Mary
Context triple: [Sara Sugarman, directed, Very Annie Mary]
  • A. Very Annie Mary chosen
    Very Annie Mary is a quirky British comedy-drama film about an eccentric young Welsh woman striving for independence and a singing career in her small village.
  • B. Annie Shawn
    Annie Shawn is the daughter of Antiguan-American writer Jamaica Kincaid and American editor and critic Allen Shawn.
  • C. Annie Pink
    Annie Pink was the first wife of Austrian psychoanalyst Wilhelm Reich, with whom she shared involvement in early psychoanalytic circles in Vienna.
  • D. Annie Christian
    "Annie Christian" is a song by Prince, known for its dark, politically charged lyrics and experimental new wave sound on his 1981 album "Controversy."
  • E. Annie Marks
    Annie Marks is a key character in the TV series "Good Girls," known as Beth Boland's impulsive and free-spirited younger sister who becomes entangled in their criminal schemes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e676931fe08190b278d829a745701f completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:06 a.m.