Triple

T13321839
Position Surface form Disambiguated ID Type / Status
Subject Jermaine E317332 entity
Predicate commonNickname P25214 FINISHED
Object Jerm
Jerm is a casual shortened nickname commonly used for people named Jermaine.
E1032202 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: Jerm | Statement: [Jermaine, commonNickname, Jerm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerm
Context triple: [Jermaine, commonNickname, Jerm]
  • A. Jerral
    Jerral is the given first name of Jerry Jones, the longtime owner, president, and general manager of the NFL's Dallas Cowboys.
  • B. Jarmen
    Jarmen is a small town in northeastern Germany, located in the state of Mecklenburg-Vorpommern.
  • C. Josmer
    Josmer is the given first name of American professional soccer player Jozy Altidore.
  • D. Jeru
    Jeru is one of the indigenous Great Andamanese languages historically spoken by the native communities of the Andaman Islands in India.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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: Jerm
Triple: [Jermaine, commonNickname, Jerm]
Generated description
Jerm is a casual shortened nickname commonly used for people named Jermaine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jerm
Target entity description: Jerm is a casual shortened nickname commonly used for people named Jermaine.
  • A. Jerral
    Jerral is the given first name of Jerry Jones, the longtime owner, president, and general manager of the NFL's Dallas Cowboys.
  • B. Jarmen
    Jarmen is a small town in northeastern Germany, located in the state of Mecklenburg-Vorpommern.
  • C. Josmer
    Josmer is the given first name of American professional soccer player Jozy Altidore.
  • D. Jeru
    Jeru is one of the indigenous Great Andamanese languages historically spoken by the native communities of the Andaman Islands in India.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716efc3908190890e969c40694771 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177f2270819098426a269032ea1c completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:30 p.m.