Triple

T20107181
Position Surface form Disambiguated ID Type / Status
Subject Julia Waters E490212 entity
Predicate hasSibling P363 FINISHED
Object Oren Waters 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: Oren Waters | Statement: [Julia Waters, hasSibling, Oren Waters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oren Waters
Context triple: [Julia Waters, hasSibling, Oren Waters]
  • A. Oren Waters chosen
    Oren Waters is an American singer and renowned session vocalist best known as a member of the Waters family, who have contributed backing vocals to countless hit recordings and film soundtracks.
  • B. Eric Fletcher Waters
    Eric Fletcher Waters was a British schoolteacher and soldier whose death in World War II profoundly influenced the life and work of his son, Pink Floyd co-founder Roger Waters.
  • C. Oren Harris
    Oren Harris was an American politician and longtime Arkansas congressman who played a key role in shaping U.S. drug and consumer protection legislation in the mid-20th century.
  • D. Paul Waterhouse
    Paul Waterhouse was a prominent late 19th- and early 20th-century British architect known for his commercial and institutional buildings in London and beyond.
  • E. Oren Sarch
    Oren Sarch is a professional audio mastering engineer and editor known for his work on music and post-production projects.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dcb8d4819091889e19dd9137a6 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.