Triple

T5713680
Position Surface form Disambiguated ID Type / Status
Subject Wayne County and the Backstreet Boys E125970 entity
Predicate notableMember P10 FINISHED
Object Jayne County E563296 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: Jayne County | Statement: [Wayne County and the Backstreet Boys, notableMember, Jayne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayne County
Context triple: [Wayne County and the Backstreet Boys, notableMember, Jayne County]
  • A. Jayne County chosen
    Jayne County is an American singer, songwriter, and pioneering transgender punk rock performer known for her influential role in the 1970s New York punk scene.
  • B. Grant County
    Grant County is a county in central Washington State known for its agricultural production, reservoirs, and outdoor recreation areas.
  • C. Adams County
    Adams County is a largely rural county in eastern Washington State known for its agricultural production, particularly wheat and potatoes.
  • D. Adams County
    Adams County is a rural county in central Wisconsin known for its forests, lakes, and outdoor recreation.
  • E. Adams County
    Adams County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ca111188190932a17a2fab097c7 completed March 23, 2026, 10:57 a.m.
Created at: March 22, 2026, 3:46 p.m.