Triple

T17928879
Position Surface form Disambiguated ID Type / Status
Subject Debra Jennifer Stern E448273 entity
Predicate father P120 FINISHED
Object Howard Stern 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: Howard Stern | Statement: [Debra Jennifer Stern, father, Howard Stern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Stern
Context triple: [Debra Jennifer Stern, father, Howard Stern]
  • A. Howard Stern chosen
    Howard Stern is an American radio and television personality best known for his provocative, boundary-pushing talk show and influential role in modern shock-jock broadcasting.
  • B. Bill Stern
    Bill Stern was a prominent American sportscaster and radio announcer best known for his dramatic play-by-play coverage and storytelling during the golden age of sports broadcasting.
  • C. Henry Stern
    Henry Stern is an American politician and attorney who has served as a member of the California State Senate.
  • D. Howard Cannon
    Howard Cannon is a computer scientist and entrepreneur best known as one of the founders of the pioneering artificial intelligence company Symbolics.
  • E. Steve Wright in the Afternoon
    Steve Wright in the Afternoon was a long-running, popular BBC Radio 2 weekday show hosted by DJ Steve Wright, known for its lively mix of music, chat, and quirky features.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5511a408190973cf5fa1f286a26 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.