Triple

T23135372
Position Surface form Disambiguated ID Type / Status
Subject Suzanne M. Bruegger E577302 entity
Predicate spouse P13 FINISHED
Object Victor McLaglen 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: Victor McLaglen | Statement: [Suzanne M. Bruegger, spouse, Victor McLaglen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor McLaglen
Context triple: [Suzanne M. Bruegger, spouse, Victor McLaglen]
  • A. Victor McLaglen chosen
    Victor McLaglen was an English-born actor best known for his tough, boisterous roles in early 20th-century Hollywood films, including his Oscar-winning performance in "The Informer."
  • B. Claude McLaglen
    Claude McLaglen was a British film editor active in the mid-20th century, known for his work on several notable British and American productions.
  • C. Jack MacGowran
    Jack MacGowran was an Irish character actor known for his work in British and American films and for his acclaimed performances in Samuel Beckett’s plays.
  • D. George Arliss
    George Arliss was an English stage and film actor of the early 20th century, best known for his sophisticated character roles and for winning an Academy Award for Best Actor for "Disraeli" (1929).
  • E. Leslie Arliss
    Leslie Arliss was a British film director and screenwriter best known for his popular 1940s melodramas and costume dramas.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8b694c8190b9ead00ea0576d90 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.