Triple
T20172015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod McKuen |
E491983
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McKuen |
—
|
NE NERFINISHED |
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: McKuen | Statement: [Rod McKuen, familyName, McKuen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McKuen Context triple: [Rod McKuen, familyName, McKuen]
-
A.
Rod McKuen
chosen
Rod McKuen was an American poet, singer-songwriter, and composer known for his sentimental verse and popular songs in the 1960s and 1970s.
-
B.
John McEuen
John McEuen is an American multi-instrumentalist and founding member of the Nitty Gritty Dirt Band, known for his influential work in country, bluegrass, and folk music.
-
C.
Mickey Newbury
Mickey Newbury was an influential American singer-songwriter known for his poetic, genre-blending country songs that were widely covered by other artists in the 1960s and 1970s.
-
D.
Nat Blake
Nat Blake is a shy, musically gifted orphan boy who becomes one of the central students at Jo Bhaer’s school in Louisa May Alcott’s novel "Little Men."
-
E.
Sam McGraw
Sam McGraw is a person who shares the McGraw surname, though no widely recognized public figure by this exact name is well-documented.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.