Triple

T8147243
Position Surface form Disambiguated ID Type / Status
Subject Janet Sarbanes E190243 entity
Predicate sibling P363 FINISHED
Object John Sarbanes E185542 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: John Sarbanes | Statement: [Janet Sarbanes, sibling, John Sarbanes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Sarbanes
Context triple: [Janet Sarbanes, sibling, John Sarbanes]
  • A. John Sarbanes chosen
    John Sarbanes is an American politician and attorney who has served as a Democratic U.S. Representative from Maryland.
  • B. Paul Sarbanes
    Paul Sarbanes was a long-serving U.S. Senator from Maryland best known for co-authoring major corporate governance reforms in the early 2000s.
  • C. Tom Reid
    Tom Reid is the brother of American actress Tara Reid, known for her roles in films like "American Pie" and "The Big Lebowski."
  • D. Tom Harkin
    Tom Harkin is an American Democratic politician and longtime U.S. senator from Iowa known for his leadership on disability rights and authorship of the Americans with Disabilities Act.
  • E. Joe Lieberman
    Joe Lieberman was a longtime U.S. senator from Connecticut known for his centrist politics and role as Al Gore’s vice-presidential running mate in the 2000 election.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447d6b1881908ff3fa25af6b4e80 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbedc48108190bcf98a82b9625250 completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.