Triple

T17246070
Position Surface form Disambiguated ID Type / Status
Subject Justin E418627 entity
Predicate hasVariant P455 FINISHED
Object Justen
Justen is a given name that functions as an alternative spelling variant of the more common name Justin.
 E1259724 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: Justen | Statement: [Justin, hasVariant, Justen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Justen
Context triple: [Justin, hasVariant, Justen]
  • A. Jared Vennett
    Jared Vennett is a slick, opportunistic Wall Street trader in "The Big Short" who profits by betting against the U.S. housing market before its 2008 collapse.
  • B. Jasen Fisher
    Jasen Fisher is an American former child actor best known for his roles in late-1980s and early-1990s films such as "Parenthood," "Hook," and "The Witches."
  • C. Justin Krish
    Justin Krish is a film editor known for his work on the romantic drama "Bride and Prejudice."
  • D. Dante Kester
    Dante Kester is a musician best known as a member of the experimental rock band Cheer-Accident.
  • E. Justin O’Brien
    Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
  • 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: Justen
Triple: [Justin, hasVariant, Justen]
Generated description
Justen is a given name that functions as an alternative spelling variant of the more common name Justin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Justen
Target entity description: Justen is a given name that functions as an alternative spelling variant of the more common name Justin.
  • A. Jared Vennett
    Jared Vennett is a slick, opportunistic Wall Street trader in "The Big Short" who profits by betting against the U.S. housing market before its 2008 collapse.
  • B. Jasen Fisher
    Jasen Fisher is an American former child actor best known for his roles in late-1980s and early-1990s films such as "Parenthood," "Hook," and "The Witches."
  • C. Justin Krish
    Justin Krish is a film editor known for his work on the romantic drama "Bride and Prejudice."
  • D. Dante Kester
    Dante Kester is a musician best known as a member of the experimental rock band Cheer-Accident.
  • E. Justin O’Brien
    Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e23b8948190870d0e6b4e55b4e3 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017351db88819097bfbec41920a488 completed May 11, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0175f8c7d48190896f375385829a34 completed May 11, 2026, 6:23 a.m.
Created at: April 10, 2026, 5:39 a.m.