Triple

T21577662
Position Surface form Disambiguated ID Type / Status
Subject Kyle Rote E532440 entity
Predicate familyName P18 FINISHED
Object Rote 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: Rote | Statement: [Kyle Rote, familyName, Rote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rote
Context triple: [Kyle Rote, familyName, Rote]
  • A. Rote chosen
    Rote is a surname most notably associated with American football player Kyle Rote.
  • B. Rote
    Rote is an Indonesian island in the southernmost part of the country, known for its traditional culture, distinctive sasando music instrument, and popular surf spots.
  • C. Les Rotes
    Les Rotes is a rocky coastal area near Dénia, Spain, known for its scenic coves, clear waters, and popular snorkeling and diving spots.
  • D. Raudten
    Raudten is a historical town in Silesia, now known as Rudna in modern-day Poland.
  • E. Rothen
    Rothen is a German surname variant of "Roth," typically associated with families of German-speaking origin.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb59cee08190aae55ad6e2a4e077 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.