Triple

T23406585
Position Surface form Disambiguated ID Type / Status
Subject John Rayburn E559950 entity
Predicate hasSibling P363 FINISHED
Object Meg Rayburn 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: Meg Rayburn | Statement: [John Rayburn, hasSibling, Meg Rayburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meg Rayburn
Context triple: [John Rayburn, hasSibling, Meg Rayburn]
  • A. Meg Rayburn chosen
    Meg Rayburn is a central character in the Netflix drama series "Bloodline," known as the Rayburn family's ambitious yet conflicted lawyer daughter.
  • B. June Ritchie
    June Ritchie is a British actress best known for her leading role in the 1962 kitchen-sink drama film "A Kind of Loving."
  • C. Marilyn McLeod
    Marilyn McLeod was an American songwriter best known for co-writing several Motown hits, including Diana Ross’s disco classic “Love Hangover.”
  • D. Eileen Paisley
    Eileen Paisley is a Northern Irish politician and life peer who served as a Democratic Unionist Party representative and is known as the wife of DUP founder and former First Minister Ian Paisley.
  • E. Annette Robertson
    Annette Robertson is a British actress known for her film and television work in the 1960s, including roles in productions such as "The Young Ones" and "The Count of Monte Cristo."
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50e607c8190ba0a22e89862a2d9 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.