Triple
T4808289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimi Fariña |
E106998
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Richard Fariña |
E471673
|
NE FINISHED |
How this triple was built (2 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, notableCollaboration, Richard Fariña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Fariña Context triple: [Mimi Fariña, notableCollaboration, Richard Fariña]
-
A.
Richard Fariña
chosen
Richard Fariña was an American folk singer-songwriter and novelist associated with the 1960s counterculture movement.
-
B.
Ed Kelly
Ed Kelly is a technology executive best known as a co-founder of the innovative microprocessor company Transmeta.
-
C.
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.
-
D.
Gregory Corso
Gregory Corso was an American poet closely associated with the Beat Generation, known for his energetic, surreal, and rebellious verse.
-
E.
Peter Orlovsky
Peter Orlovsky was an American poet and longtime partner of Allen Ginsberg, closely associated with the Beat Generation literary movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69be5ca47a588190ac15fabfdab8b2da |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:23 p.m.