Triple

T12902490
Position Surface form Disambiguated ID Type / Status
Subject Jessica Garland E308643 entity
Predicate sibling P363 FINISHED
Object Rebecca Garland E356185 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: Rebecca Garland | Statement: [Jessica Garland, sibling, Rebecca Garland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Garland
Context triple: [Jessica Garland, sibling, Rebecca Garland]
  • A. Rebecca Garland chosen
    Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
  • B. Rebecca Rigg
    Rebecca Rigg is an Australian actress known for her work in film and television and for her long-term marriage to actor Simon Baker.
  • C. Rebecca Howe
    Rebecca Howe is a fictional character on the sitcom "Cheers," known as the ambitious and often neurotic bar manager who replaces Diane Chambers.
  • D. Rebecca Vest
    Rebecca Vest is known as the wife of the late Charles M. Vest, the former president of the Massachusetts Institute of Technology.
  • E. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265af6cc81908837c80797a8e704 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 5:40 p.m.