Triple

T13910432
Position Surface form Disambiguated ID Type / Status
Subject Miriam Hopkins E334474 entity
Predicate child P120 FINISHED
Object Michael Hopkins E881876 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: Michael Hopkins | Statement: [Miriam Hopkins, child, Michael Hopkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hopkins
Context triple: [Miriam Hopkins, child, Michael Hopkins]
  • A. Michael Hopkins chosen
    Michael Hopkins was a prominent British architect known for his high-tech and sustainable designs, often blending modern technology with traditional materials.
  • B. Richard Hopkins
    Richard Hopkins was a British television producer best known for developing and producing major entertainment formats, including the hit dance competition show Strictly Come Dancing.
  • C. Sam Hopkins
    Sam "Lightnin’" Hopkins was a highly influential American country blues guitarist, singer, and songwriter known for his distinctive Texas blues style and prolific recording career.
  • D. Jon Hensley
    Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
  • E. Bo Hopkins
    Bo Hopkins was an American character actor known for his tough-guy roles in films like "The Wild Bunch," "American Graffiti," and numerous Westerns and crime dramas.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2723461881908376b5509ee0d530 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72879e48190ac01d0a2023b098c completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.