Triple

T5483850
Position Surface form Disambiguated ID Type / Status
Subject Wolds Top E123529 entity
Predicate hasListing P1278 FINISHED
Object Marilyn E35887 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: Marilyn | Statement: [Wolds Top, hasListing, Marilyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilyn
Context triple: [Wolds Top, hasListing, Marilyn]
  • A. Marilyn chosen
    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.
  • B. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • C. Marilyn Monroe
    Marilyn Monroe was an iconic American actress, model, and sex symbol of the mid-20th century, renowned for her comedic roles, glamorous image, and enduring cultural legacy.
  • D. Gloria
    Gloria is a 1980 American crime drama film written and directed by John Cassavetes, starring Gena Rowlands as a tough ex-mobster’s girlfriend protecting a young boy from gangsters.
  • E. Gloria
    "Gloria" is a 2023 studio album by English singer-songwriter Sam Smith that explores themes of self-acceptance, love, and queer identity through pop and soul-influenced tracks.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd925deadc81908e193eeb75b63d90 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a4c67081909fb62ddcf0fb3047 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:10 p.m.