Triple

T17272502
Position Surface form Disambiguated ID Type / Status
Subject Benyellary E419298 entity
Predicate hasViewOf P854 FINISHED
Object The Merrick 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: The Merrick | Statement: [Benyellary, hasViewOf, The Merrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Merrick
Context triple: [Benyellary, hasViewOf, The Merrick]
  • A. Merrick
    Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
  • B. Merrick
    Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
  • C. Merrick
    "Merrick" is a horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
  • D. Merrick chosen
    Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
  • E. Merrick
    Merrick is the given name of Merrick Brian Garland, the U.S. Attorney General and former Chief Judge of the U.S. Court of Appeals for the D.C. Circuit.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4b023c8190b92df4015c14c3a8 completed April 19, 2026, 1:26 a.m.
Created at: April 10, 2026, 5:40 a.m.