Triple

T3269668
Position Surface form Disambiguated ID Type / Status
Subject Louis IV, Holy Roman Emperor E68613 entity
Predicate givenName P17 FINISHED
Object Louis E32075 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: Louis | Statement: [Louis IV, Holy Roman Emperor, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Louis IV, Holy Roman Emperor, givenName, Louis]
  • A. Louis
    Louis is the friendly, trumpet-playing alligator who dreams of becoming a jazz musician in Disney's animated film "The Princess and the Frog."
  • B. Louis chosen
    Louis is the given name of Louis Armstrong, the legendary American jazz trumpeter and singer.
  • C. Louis
    Louis is the middle name of legendary American baseball player Hank Aaron, one of Major League Baseball’s greatest hitters.
  • D. Baraque Michel
    Baraque Michel is a high plateau area and former coaching inn in Belgium’s High Fens, known as one of the country’s coldest and highest inhabited spots and a popular starting point for hikes in the surrounding nature reserve.
  • E. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.