Triple

T14619079
Position Surface form Disambiguated ID Type / Status
Subject Darren E343168 entity
Predicate hasVariant P455 FINISHED
Object Darin
Darin is a given name, typically a masculine first name, used as a variant spelling of Darren.
E1110833 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: Darin | Statement: [Darren, hasVariant, Darin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darin
Context triple: [Darren, hasVariant, Darin]
  • A. Darin McFadyen
    Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
  • B. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • C. Eric Hatch
    Eric Hatch was an American author and screenwriter best known for his witty stories and adaptations in 1930s Hollywood comedies.
  • D. Don James
    Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
  • E. Clay Easton
    Clay Easton is the disaffected, wealthy young protagonist of Bret Easton Ellis’s novel "Less Than Zero," whose detached perspective captures the moral emptiness of 1980s Los Angeles youth culture.
  • 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: Darin
Triple: [Darren, hasVariant, Darin]
Generated description
Darin is a given name, typically a masculine first name, used as a variant spelling of Darren.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Darin
Target entity description: Darin is a given name, typically a masculine first name, used as a variant spelling of Darren.
  • A. Darin McFadyen
    Darin McFadyen is a New Zealand-born DJ and producer best known for his breakbeat and electronic music work under the stage name Freq Nasty.
  • B. Tony Darrow
    Tony Darrow is an American actor best known for his supporting roles as mobsters in films and television, particularly in Martin Scorsese’s crime dramas.
  • C. Eric Hatch
    Eric Hatch was an American author and screenwriter best known for his witty stories and adaptations in 1930s Hollywood comedies.
  • D. Don James
    Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
  • E. Clay Easton
    Clay Easton is the disaffected, wealthy young protagonist of Bret Easton Ellis’s novel "Less Than Zero," whose detached perspective captures the moral emptiness of 1980s Los Angeles youth culture.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46550e48190af45f426f02579bb completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda924c7308190931c03fbac57b0bf completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb234bc1c8190a85c802dfcfa7909 completed May 8, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69fdb36bd50c8190a8af992fe4b12bb6 completed May 8, 2026, 9:57 a.m.
Created at: April 10, 2026, 1:25 a.m.