Triple

T6134554
Position Surface form Disambiguated ID Type / Status
Subject Kismet (1955 film) E136799 entity
Predicate costumeDesignBy P184 FINISHED
Object Walter Plunkett E165232 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: Walter Plunkett | Statement: [Kismet (1955 film), costumeDesignBy, Walter Plunkett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Plunkett
Context triple: [Kismet (1955 film), costumeDesignBy, Walter Plunkett]
  • A. Walter Plunkett chosen
    Walter Plunkett was a prominent American costume designer best known for his work on classic Hollywood films such as "Gone with the Wind."
  • B. Edmund Greacen
    Edmund Greacen was an American Impressionist painter and influential art educator who co-founded New York’s Grand Central School of Art.
  • C. Reginald McKenna
    Reginald McKenna was a British Liberal politician who held several senior government posts, including Home Secretary and Chancellor of the Exchequer, during the early 20th century.
  • D. Arthur Dignam
    Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
  • E. William Pleeth
    William Pleeth was a renowned British cellist and influential teacher best known for mentoring the celebrated cellist Jacqueline du Pré.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c7f34d081909e589b201b22be21 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d5f60848190bd75dfefa27b3315 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:15 p.m.