Triple

T12767998
Position Surface form Disambiguated ID Type / Status
Subject Blue Heelers E305173 entity
Predicate portrayedBy P1507 FINISHED
Object Lisa McCune E915833 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: Lisa McCune | Statement: [Blue Heelers, portrayedBy, Lisa McCune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa McCune
Context triple: [Blue Heelers, portrayedBy, Lisa McCune]
  • A. Lisa McCune chosen
    Lisa McCune is an Australian actress best known for her award-winning television work, particularly her role as Senior Constable Maggie Doyle on the long-running drama "Blue Heelers."
  • B. Claire Jackman
    Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
  • C. Joanne Dru
    Joanne Dru was an American film and television actress best known for her roles in classic Westerns and dramas of the 1940s and 1950s.
  • D. Susan Cummings
    Susan Cummings was a German-American film and television actress active in the 1950s and 1960s, known for her roles in adventure and genre pictures as well as numerous TV guest appearances.
  • E. Sheila Garrett
    Sheila Garrett was the wife of British actor Henry Wilcoxon, known for her long marriage to the prominent film and television performer.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb735e481909f120f95fa68f4f1 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:28 p.m.