Triple
T7830417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back for Good |
E181350
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Sure |
E181361
|
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: Sure | Statement: [Back for Good, precededBySingle, Sure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sure Context triple: [Back for Good, precededBySingle, Sure]
-
A.
Sure
chosen
"Sure" is a 1994 pop single by British boy band Take That, known for its smooth R&B-influenced sound and chart-topping success in the UK.
-
B.
Certainly
"Certainly" is a song best known as the B-side to the single "On & On."
-
C.
Safe
Safe is a 1995 psychological drama film directed by Todd Haynes, in which Julianne Moore plays a suburban housewife who develops a mysterious environmental illness, exploring themes of alienation, illness, and societal anxiety.
-
D.
SAFE
SAFE (Saving Animals From Extinction) is a conservation initiative dedicated to protecting and recovering endangered animal species and their habitats.
-
E.
Assurance
"Assurance" is a popular Afrobeats love song by Nigerian artist Davido, widely recognized for its romantic theme and cultural impact across Africa.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a854fac8190802599615a0f7bc4 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:44 p.m.