Triple
T20622189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SRK 6063 |
E506726
|
entity |
| Predicate | sideAContains |
P34740
|
FINISHED |
| Object | Don’t Come Close |
—
|
NE NERFINISHED |
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: Don’t Come Close | Statement: [SRK 6063, sideAContains, Don’t Come Close]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Come Close Context triple: [SRK 6063, sideAContains, Don’t Come Close]
-
A.
Don’t Come Close
chosen
"Don’t Come Close" is a song by the American punk rock band Ramones, featured on their 1978 album "Road to Ruin."
-
B.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
C.
So Close
"So Close" is a popular electronic dance track by German DJ and producer Felix Jaehn, known for its catchy melody and radio-friendly sound.
-
D.
Come Close
"Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
-
E.
Too Close
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe25c208190af057bcd1aa6219d |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.