Triple
T16676045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cure |
E405217
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Close to Me |
E851681
|
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: Close to Me | Statement: [The Cure, notableWork, Close to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Close to Me Context triple: [The Cure, notableWork, Close to Me]
-
A.
Close to Me
chosen
"Close to Me" is a 2018 electro-pop collaboration between Ellie Goulding, Diplo, and Swae Lee that blends catchy melodies with dance-oriented production.
-
B.
Close to Me
Close to Me is a British psychological drama television series centered on a woman who loses a year of her memories after a fall and begins to uncover disturbing truths about her life.
-
C.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
D.
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.
-
E.
Next To Me
"Next To Me" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and romantic lyrics.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.