Triple
T9396759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus and Mars |
E226161
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | You Gave Me the Answer |
E225575
|
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: You Gave Me the Answer | Statement: [Venus and Mars, track, You Gave Me the Answer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Gave Me the Answer Context triple: [Venus and Mars, track, You Gave Me the Answer]
-
A.
You Gave Me the Answer
chosen
"You Gave Me the Answer" is a nostalgic, music-hall–style song by Paul McCartney and Wings, notable for its old-timey arrangement and affectionate pastiche of early 20th-century popular music.
-
B.
I Can Give You More
"I Can Give You More" is a hip hop single by LL Cool J from his debut album "Radio."
-
C.
Givin’ Yourself Away
"Givin’ Yourself Away" is a power ballad by the American glam metal band Ratt, featured on their 1990 album "Detonator."
-
D.
God Gave Me You
"God Gave Me You" is a popular country love song recorded by Blake Shelton that became one of his signature hits.
-
E.
Give Me an Answer
"Give Me an Answer" is a melancholic, atmospheric indie track by Low Roar, known for its introspective lyrics and ethereal production.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10114e4d08190b4f465f9e56f9ffd |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.