Triple

T4899195
Position Surface form Disambiguated ID Type / Status
Subject South Carolina's 5th congressional district E109754 entity
Predicate hasRepresentative P192 FINISHED
Object Ralph Norman E111986 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: Ralph Norman | Statement: [South Carolina's 5th congressional district, hasRepresentative, Ralph Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ralph Norman
Context triple: [South Carolina's 5th congressional district, hasRepresentative, Ralph Norman]
  • A. Ralph Norman chosen
    Ralph Norman is a Republican politician and businessman serving as the U.S. Representative for South Carolina's 5th congressional district.
  • B. Richard Hudson
    Richard Hudson is the child of Katherine Hudson, known primarily in relation to her.
  • C. Joe Hutshing
    Joe Hutshing is an American film editor known for his work on major Hollywood films, including collaborations with directors like Oliver Stone and Cameron Crowe.
  • D. Chip Roy
    Chip Roy is a conservative Republican politician and attorney serving in the U.S. House of Representatives from Texas.
  • E. Mike Royce
    Mike Royce is an American television writer and producer known for his work on acclaimed comedy series such as Everybody Loves Raymond and the 2017 reboot of One Day at a Time.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4adfc48190b35bf3ad59779bd8 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fcda9748190a5101aed11ae14a8 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.