Triple

T21367510
Position Surface form Disambiguated ID Type / Status
Subject Rabbit-Proof Fence E526957 entity
Predicate hasCastMember P2308 FINISHED
Object Laura Monaghan 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: Laura Monaghan | Statement: [Rabbit-Proof Fence, hasCastMember, Laura Monaghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Monaghan
Context triple: [Rabbit-Proof Fence, hasCastMember, Laura Monaghan]
  • A. Laura Monaghan chosen
    Laura Monaghan is an Australian actress best known for her leading role in the acclaimed film "Rabbit-Proof Fence," which portrays the experiences of Aboriginal children of the Stolen Generations.
  • B. Rebecca McGuinness
    Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
  • C. Laura Donnelly
    Laura Donnelly is a Northern Irish actress known for her prominent roles in television dramas and genre series, including leading the cast of HBO's "The Nevers."
  • D. Kate McTiernan
    Kate McTiernan is a fictional kidnapping survivor and key supporting character in the thriller film "Kiss the Girls."
  • E. Sarah O’Meara
    Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bae5eb88190be6d9ff4dc03d52b completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:09 p.m.