Triple

T14167547
Position Surface form Disambiguated ID Type / Status
Subject Deconstructing Harry E351117 entity
Predicate producer P490 FINISHED
Object Letty Aronson E312157 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: Letty Aronson | Statement: [Deconstructing Harry, producer, Letty Aronson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letty Aronson
Context triple: [Deconstructing Harry, producer, Letty Aronson]
  • A. Letty Aronson chosen
    Letty Aronson is an American film producer best known for her long-running collaboration with director Woody Allen on numerous critically acclaimed movies.
  • B. Lola Burns
    Lola Burns is the glamorous yet beleaguered movie star protagonist of the 1933 screwball comedy film "Bombshell," satirizing Hollywood celebrity culture and studio manipulation.
  • C. Eva Trout
    Eva Trout is a 1968 novel by Anglo-Irish writer Elizabeth Bowen, known for its experimental narrative and exploration of identity, isolation, and emotional disconnection in modern life.
  • D. Letty Ortiz
    Letty Ortiz is a skilled street racer, mechanic, and key member of Dominic Toretto’s crew in the Fast & Furious film franchise.
  • E. Joan Valentine
    Joan Valentine is a quick-witted, resourceful young woman who works as a journalist and adventurer in P. G. Wodehouse’s comic fiction.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2804956c81909409fba998a87866 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1 a.m.