Triple

T14397878
Position Surface form Disambiguated ID Type / Status
Subject Zeus and Roxanne E356996 entity
Predicate mainCastMember P5563 FINISHED
Object Miko Hughes E766441 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: Miko Hughes | Statement: [Zeus and Roxanne, mainCastMember, Miko Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miko Hughes
Context triple: [Zeus and Roxanne, mainCastMember, Miko Hughes]
  • A. Miko Hughes chosen
    Miko Hughes is an American former child actor best known for his memorable roles in films like "Pet Sematary," "Kindergarten Cop," and "Apollo 13," as well as the TV series "Full House."
  • B. Pat Hughes
    Pat Hughes is a longtime American sportscaster best known as the radio play-by-play voice of Major League Baseball’s Chicago Cubs.
  • C. Jimmy Hughes
    Jimmy Hughes is a central character on the sitcom "Yes, Dear," portrayed as a well-meaning but often overwhelmed young father and husband navigating everyday family chaos.
  • D. Taylor Hughes
    Taylor Hughes is a member of the Hughes family and the sibling of American Olympic figure skating champion Sarah Hughes.
  • E. Mika Boorem
    Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.