Triple

T4808276
Position Surface form Disambiguated ID Type / Status
Subject Mimi Fariña E106998 entity
Predicate spouse P13 FINISHED
Object Richard Fariña
Richard Fariña was an American folk singer-songwriter and novelist associated with the 1960s counterculture movement.
 E471673 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: Richard Fariña | Statement: [Mimi Fariña, spouse, Richard Fariña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Fariña
Context triple: [Mimi Fariña, spouse, Richard Fariña]
  • A. Ed Kelly
    Ed Kelly is a technology executive best known as a co-founder of the innovative microprocessor company Transmeta.
  • B. Steven Lento
    Steven Lento is the birth name of Steven Van Zandt, the American musician, songwriter, producer, and actor best known as a member of Bruce Springsteen’s E Street Band and for his role on The Sopranos.
  • C. Gregory Corso
    Gregory Corso was an American poet closely associated with the Beat Generation, known for his energetic, surreal, and rebellious verse.
  • D. Peter Orlovsky
    Peter Orlovsky was an American poet and longtime partner of Allen Ginsberg, closely associated with the Beat Generation literary movement.
  • E. Peter Fonda
    Peter Fonda was an American actor, director, and counterculture icon best known for co-writing, producing, and starring in the landmark 1969 film "Easy Rider."
  • 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: Richard Fariña
Triple: [Mimi Fariña, spouse, Richard Fariña]
Generated description
Richard Fariña was an American folk singer-songwriter and novelist associated with the 1960s counterculture movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Fariña
Target entity description: Richard Fariña was an American folk singer-songwriter and novelist associated with the 1960s counterculture movement.
  • A. Ed Kelly
    Ed Kelly is a technology executive best known as a co-founder of the innovative microprocessor company Transmeta.
  • B. Steven Lento
    Steven Lento is the birth name of Steven Van Zandt, the American musician, songwriter, producer, and actor best known as a member of Bruce Springsteen’s E Street Band and for his role on The Sopranos.
  • C. Gregory Corso
    Gregory Corso was an American poet closely associated with the Beat Generation, known for his energetic, surreal, and rebellious verse.
  • D. Peter Orlovsky
    Peter Orlovsky was an American poet and longtime partner of Allen Ginsberg, closely associated with the Beat Generation literary movement.
  • E. Peter Fonda
    Peter Fonda was an American actor, director, and counterculture icon best known for co-writing, producing, and starring in the landmark 1969 film "Easy Rider."
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4ea556148190819480e219fc7c2c completed March 21, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69be4f57ed4881908c03c76c0b3c733d completed March 21, 2026, 7:57 a.m.
Created at: March 20, 2026, 1:23 p.m.