Triple
T15595497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Funk Railroad |
E374882
|
entity |
| Predicate | currentMember |
P27891
|
FINISHED |
| Object | Lawrence Buckner |
E1167102
|
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: Lawrence Buckner | Statement: [Grand Funk Railroad, currentMember, Lawrence Buckner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Buckner Context triple: [Grand Funk Railroad, currentMember, Lawrence Buckner]
-
A.
Lawrence Buckner
chosen
Lawrence Buckner is a musician best known as a member of the American rock band Grand Funk Railroad.
-
B.
Robert Buckner
Robert Buckner was an American screenwriter and film producer known for his work on classic Hollywood films in the 1930s and 1940s.
-
C.
A. J. Buckner
A. J. Buckner is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Buckner.
-
D.
Branford Buckner
Branford Buckner is a former American football defensive tackle who played in the NFL and later became a defensive line coach.
-
E.
Floyd Lawson
Floyd Lawson is the mild-mannered, talkative barber of Mayberry on the classic American television sitcom "The Andy Griffith Show."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f355ff48190a2c2c262c09e6de0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:12 a.m.