Triple

T15798607
Position Surface form Disambiguated ID Type / Status
Subject The Make-Up E383043 entity
Predicate hasMember P10 FINISHED
Object Amy Farina
Amy Farina is an American drummer and musician best known for her work in Washington, D.C.'s indie and punk scenes, including collaborations with Ian MacKaye in bands like The Evens and Coriky.
E1177131 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: Amy Farina | Statement: [The Make-Up, hasMember, Amy Farina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Farina
Context triple: [The Make-Up, hasMember, Amy Farina]
  • A. Janet Tamaro
    Janet Tamaro is an American television writer and producer best known for developing and showrunning the crime drama series "Rizzoli & Isles."
  • B. Jo Francis
    Jo Francis is a film editor best known for her work on the crime drama film "In the Valley of Elah."
  • C. Joan Baim
    Joan Baim was an American dancer and the first wife of renowned playwright Neil Simon.
  • D. Janis Siegel
    Janis Siegel is an American jazz and pop vocalist best known as a longtime member of the Grammy-winning vocal group The Manhattan Transfer.
  • E. Maureen Van Zandt
    Maureen Van Zandt is an American actress and producer best known for her role as Gabriella Dante on the television series "The Sopranos."
  • 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: Amy Farina
Triple: [The Make-Up, hasMember, Amy Farina]
Generated description
Amy Farina is an American drummer and musician best known for her work in Washington, D.C.'s indie and punk scenes, including collaborations with Ian MacKaye in bands like The Evens and Coriky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amy Farina
Target entity description: Amy Farina is an American drummer and musician best known for her work in Washington, D.C.'s indie and punk scenes, including collaborations with Ian MacKaye in bands like The Evens and Coriky.
  • A. Janet Tamaro
    Janet Tamaro is an American television writer and producer best known for developing and showrunning the crime drama series "Rizzoli & Isles."
  • B. Jo Francis
    Jo Francis is a film editor best known for her work on the crime drama film "In the Valley of Elah."
  • C. Joan Baim
    Joan Baim was an American dancer and the first wife of renowned playwright Neil Simon.
  • D. Janis Siegel
    Janis Siegel is an American jazz and pop vocalist best known as a longtime member of the Grammy-winning vocal group The Manhattan Transfer.
  • E. Maureen Van Zandt
    Maureen Van Zandt is an American actress and producer best known for her role as Gabriella Dante on the television series "The Sopranos."
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4e00d348190bc98917c4098ec2f completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90b08ab48190892c700f5eb261d8 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff936cbbc8819097958ac02673a474 completed May 9, 2026, 8:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff93ed15ec8190b9361f7ad4c7e447 completed May 9, 2026, 8:07 p.m.
Created at: April 10, 2026, 4:48 a.m.