Triple

T7163196
Position Surface form Disambiguated ID Type / Status
Subject Margaret Bell Ervin E166997 entity
Predicate spouseOf P13 FINISHED
Object Sam Ervin E26603 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: Sam Ervin | Statement: [Margaret Bell Ervin, spouseOf, Sam Ervin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Ervin
Context triple: [Margaret Bell Ervin, spouseOf, Sam Ervin]
  • A. Sam Ervin chosen
    Sam Ervin was a North Carolina Democratic senator best known for chairing the Senate Watergate Committee and playing a key role in the investigation that led to President Nixon’s resignation.
  • B. Howard E. Smith
    Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
  • C. Robert Byrd
    Robert Byrd was a long-serving Democratic U.S. senator from West Virginia who became one of the most powerful figures in Congress and the longest-serving member in its history.
  • D. Howard W. Smith
    Howard W. Smith was a powerful mid-20th-century Virginia congressman and conservative Democrat known for his influential role on the House Rules Committee and his opposition to New Deal and civil rights legislation.
  • E. Howard A. Smith
    Howard A. Smith was a film editor best known for his work on classic Hollywood movies, including the 1961 romantic comedy "Breakfast at Tiffany's."
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82feee481908fa180ea8c9924fa completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc8b06c81909791e38becb594f6 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.