Triple

T2308312
Position Surface form Disambiguated ID Type / Status
Subject High Noon E51892 entity
Predicate starring P1507 FINISHED
Object Grace Kelly E26487 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: Grace Kelly | Statement: [High Noon, starring, Grace Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grace Kelly
Context triple: [High Noon, starring, Grace Kelly]
  • A. Grace Kelly chosen
    Grace Kelly was an American actress and Hollywood icon who became Princess of Monaco after marrying Prince Rainier III.
  • B. Barbara Hutton
    Barbara Hutton was an American socialite and Woolworth heiress famed for her immense fortune, lavish lifestyle, and highly publicized series of marriages and personal tragedies.
  • C. Kathryn Grant
    Kathryn Grant is an American actress and singer best known for her film and television work in the 1950s and 1960s and for her marriage to entertainer Bing Crosby.
  • D. Patricia Kennedy Lawford
    Patricia Kennedy Lawford was an American socialite, journalist, and member of the Kennedy political family who was married to British actor Peter Lawford.
  • E. Elizabeth Taylor
    Elizabeth Taylor was a legendary British-American actress and Hollywood icon renowned for her beauty, violet eyes, and acclaimed performances in films such as "Cleopatra" and "Who's Afraid of Virginia Woolf?".
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc607cf4881908ba4ea2a7f5dedc9 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f379bbc8190b085b82e2e16401e completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.