Triple

T3545957
Position Surface form Disambiguated ID Type / Status
Subject Boris Johnson E74996 entity
Predicate sibling P363 FINISHED
Object Leo Johnson E110901 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: Leo Johnson | Statement: [Boris Johnson, sibling, Leo Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Johnson
Context triple: [Boris Johnson, sibling, Leo Johnson]
  • A. Leo Johnson chosen
    Leo Johnson is a British writer and sustainability expert, known for his work on business, risk, and environmental issues and as the younger brother of former UK Prime Minister Boris Johnson.
  • B. Lou Johnson
    Lou Johnson was an American Major League Baseball outfielder best known for his clutch hitting with the Los Angeles Dodgers in the mid-1960s.
  • C. John Paul Lucas
    John Paul Lucas is an American architect best known for co-designing the Korean War Veterans Memorial in Washington, D.C.
  • D. Ed Masterson
    Ed Masterson was an American lawman and marshal in the Old West, best known for his role in Dodge City, Kansas, and as the brother of famed gunfighter and lawman Bat Masterson.
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb8ec8948190a0ae799ad20f42b3 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:20 p.m.