Triple

T12902436
Position Surface form Disambiguated ID Type / Status
Subject Merrick Brian Garland E308642 entity
Predicate givenName P17 FINISHED
Object 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.
 E1008503 NE FINISHED

How this triple was built (4 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: Merrick | Statement: [Merrick Brian Garland, givenName, Merrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merrick
Context triple: [Merrick Brian Garland, givenName, Merrick]
  • A. Merrick
    Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
  • B. Merrick
    Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
  • C. Merrick
    Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
  • D. Merrick
    "Merrick" is a horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
  • E. Moross
    Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Merrick
Triple: [Merrick Brian Garland, givenName, Merrick]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merrick
Target entity description: 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.
  • A. Merrick
    Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
  • B. Merrick
    Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
  • 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
    Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
  • E. Moross
    Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
  • F. None of above. chosen

Provenance (5 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971820e008190bf8bc7c392c8bcbb completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a563a84c8190a75d830653661518 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a7792f948190bb0b324bee0cd8ac completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:40 p.m.