Triple
T6230038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightning Bolt |
E139329
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Mind Your Manners |
E578059
|
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: Mind Your Manners | Statement: [Lightning Bolt, hasSingle, Mind Your Manners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mind Your Manners Context triple: [Lightning Bolt, hasSingle, Mind Your Manners]
-
A.
Mind Your Manners
chosen
"Mind Your Manners" is a track by the American noise rock band Lightning Bolt, known for its frenetic energy and distorted, high-intensity sound.
-
B.
No Manners
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
-
C.
Manners Makyth Man
Manners Makyth Man is the historic moral maxim emphasizing the importance of good conduct and character, famously associated with Winchester College.
-
D.
Manners
"Manners" is an essay by Ralph Waldo Emerson that explores the social and moral significance of etiquette and behavior in human character.
-
E.
Teach Your Children
"Teach Your Children" is a folk-rock song by Crosby, Stills, Nash & Young known for its gentle harmonies and reflective lyrics about intergenerational understanding and guidance.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d9a33c8190b66dbd89e0e3bbba |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243f785dc819084d2a11151d84227 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:22 p.m.