Triple

T10325677
Position Surface form Disambiguated ID Type / Status
Subject The Old Guard E242754 entity
Predicate character P662 FINISHED
Object Merrick
Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
 E855466 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: [The Old Guard, character, Merrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merrick
Context triple: [The Old Guard, character, 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 horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
  • D. Crain
    Crain is a variant spelling of the surname Crane, which is of English origin and often associated with the bird of the same name.
  • E. Wallabout
    Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
  • 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: [The Old Guard, character, Merrick]
Generated description
Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merrick
Target entity description: Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
  • 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. Crain
    Crain is a variant spelling of the surname Crane, which is of English origin and often associated with the bird of the same name.
  • E. Wallabout
    Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71da93b988190ad568b0677b5d344 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d731887d2081908e6b4e33d400582f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329189708190bbd21bd40ec029b0 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:51 a.m.