Triple

T4875245
Position Surface form Disambiguated ID Type / Status
Subject Shawn Hochuli E109185 entity
Predicate hasRelative P367 FINISHED
Object Ed Hochuli E14713 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: Ed Hochuli | Statement: [Shawn Hochuli, hasRelative, Ed Hochuli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Hochuli
Context triple: [Shawn Hochuli, hasRelative, Ed Hochuli]
  • A. Ed Hochuli chosen
    Ed Hochuli is a former National Football League official known for his long tenure, muscular physique, and detailed on-field explanations of penalties.
  • B. Pattie Mallette
    Pattie Mallette is a Canadian author and film producer best known as the mother of pop singer Justin Bieber.
  • C. Pam Bryant
    Pam Bryant is an American woman best known as the mother of the late NBA superstar Kobe Bryant.
  • D. Martine Bancroft
    Martine Bancroft is a Marvel Comics character closely associated with the antihero Morbius, often depicted as his fiancée and a key emotional anchor in his storyline.
  • E. Valarie Pettiford
    Valarie Pettiford is an American actress, singer, and dancer known for her work on stage, television, and film, including roles in productions such as the musical "Fosse" and the TV series "Half & Half."
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dba3efc8190adcf8b30490b4984 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be7795665081909471da57b980e7bd completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:27 p.m.