Triple
T9905509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Manners |
E185000
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | No Manners |
E185000
|
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: No Manners | Statement: [No Manners, hasTitle, No Manners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Manners Context triple: [No Manners, hasTitle, No Manners]
-
A.
No Manners
chosen
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
-
B.
Mind Your Manners
"Mind Your Manners" is a track by the American noise rock band Lightning Bolt, known for its frenetic energy and distorted, high-intensity sound.
-
C.
No, No, No
"No, No, No" is the debut single by American R&B group Destiny's Child, recognized for introducing the group to mainstream audiences in the late 1990s.
-
D.
Manners Makyth Man
Manners Makyth Man is the historic moral maxim emphasizing the importance of good conduct and character, famously associated with Winchester College.
-
E.
It Isn’t Nice
"It Isn’t Nice" is a protest song by folk singer-songwriter Malvina Reynolds that criticizes social complacency and defends direct action in the struggle for civil rights and social justice.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb4e641e881909dfba78fcb96c433 |
completed | April 2, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
Created at: March 30, 2026, 8:40 p.m.