Triple

T21927923
Position Surface form Disambiguated ID Type / Status
Subject Gloria Ray Karlmark E541489 entity
Predicate familyName P18 FINISHED
Object Karlmark
Karlmark is the surname of Gloria Ray Karlmark, one of the Little Rock Nine who integrated Central High School in Little Rock, Arkansas.
E1508660 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: Karlmark | Statement: [Gloria Ray Karlmark, familyName, Karlmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlmark
Context triple: [Gloria Ray Karlmark, familyName, Karlmark]
  • A. Korsmo
    Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
  • B. Hasselager
    Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Stockheim
    Stockheim is a village and local district within the municipality of Kreuzau in North Rhine-Westphalia, Germany.
  • E. Mossemarka
    Mossemarka is a forested recreational area near the town of Moss in southeastern Norway, popular for outdoor activities such as hiking and skiing.
  • 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: Karlmark
Triple: [Gloria Ray Karlmark, familyName, Karlmark]
Generated description
Karlmark is the surname of Gloria Ray Karlmark, one of the Little Rock Nine who integrated Central High School in Little Rock, Arkansas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karlmark
Target entity description: Karlmark is the surname of Gloria Ray Karlmark, one of the Little Rock Nine who integrated Central High School in Little Rock, Arkansas.
  • A. Korsmo
    Korsmo is a surname most notably associated with Charlie Korsmo, a former child actor turned law professor.
  • B. Hasselager
    Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
  • C. Stockheim
    Stockheim is a village and district of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
  • D. Stockheim
    Stockheim is a village and local district within the municipality of Kreuzau in North Rhine-Westphalia, Germany.
  • E. Mossemarka
    Mossemarka is a forested recreational area near the town of Moss in southeastern Norway, popular for outdoor activities such as hiking and skiing.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fc188481909c74fd5f1bd52258 completed April 28, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60e11d248190abc6154fa1403943 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a6140743c81909546342e72fd8002 completed May 18, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0a61a609988190979940fe25c58c44 completed May 18, 2026, 12:47 a.m.
Created at: April 16, 2026, 7:46 p.m.