Triple

T18707724
Position Surface form Disambiguated ID Type / Status
Subject The Wicked Lady E457416 entity
Predicate starring P1507 FINISHED
Object Margaret Lockwood NE NERFINISHED

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: Margaret Lockwood | Statement: [The Wicked Lady, starring, Margaret Lockwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Lockwood
Context triple: [The Wicked Lady, starring, Margaret Lockwood]
  • A. Margaret Lockwood chosen
    Margaret Lockwood was a popular British film and stage actress best known for her leading roles in 1930s and 1940s classics, particularly in thrillers and melodramas.
  • B. Margaret Ashcroft
    Margaret Ashcroft was a British actress known for her work in mid-20th-century film and television dramas.
  • C. Eileen Le Mesurier
    Eileen Le Mesurier was the mother of British journalist and spy Jeremy Wolfenden, connected to mid-20th-century British intellectual and diplomatic circles.
  • D. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • E. Sheila Holden
    Sheila Holden is known as the spouse of American animator and television producer Joseph Barbera, co-creator of iconic cartoon series such as Tom and Jerry and The Flintstones.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e567185c648190848ca47498eb56b3 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.