Triple

T22935397
Position Surface form Disambiguated ID Type / Status
Subject McLaglen E569564 entity
Predicate notableBearer P458 FINISHED
Object Cyril 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: Cyril McLaglen | Statement: [McLaglen, notableBearer, Cyril McLaglen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyril McLaglen
Context triple: [McLaglen, notableBearer, Cyril McLaglen]
  • A. 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.
  • B. 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."
  • C. Leo McLaglen
    Leo McLaglen was a British actor and stuntman active in early 20th-century cinema, known for his rugged screen presence and work in adventure and action films.
  • D. Cyril Cusack
    Cyril Cusack was an acclaimed Irish stage and screen actor known for his prolific career in British and Irish cinema and theatre throughout the mid-20th century.
  • E. John Behan
    John Behan is an Irish sculptor renowned for his powerful bronze works that often explore themes of history, migration, and national memory.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181350c7881908a72dc7a30e1aaff completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.