Triple

T3197091
Position Surface form Disambiguated ID Type / Status
Subject Mika E66959 entity
Predicate notableWork P4 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: [Mika, notableWork, "Grace Kelly"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Grace Kelly"
Context triple: [Mika, notableWork, "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. 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?".
  • D. 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.
  • E. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bb7cd488190ae95c140d9cda296 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.