Triple
T16953148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intense |
E411231
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Christian Burns |
E1243409
|
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: Christian Burns | Statement: [Intense, featuresArtist, Christian Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Burns Context triple: [Intense, featuresArtist, Christian Burns]
-
A.
Christian Burns
chosen
Christian Burns is a British singer and songwriter best known for his work in electronic dance music and collaborations with prominent trance and progressive house producers.
-
B.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
-
C.
Scott Burns
Scott Burns is a renowned American music producer and audio engineer best known for his influential work on classic death metal and extreme metal albums in the late 1980s and early 1990s.
-
D.
Scott Burns
Scott Burns is an American voice actor best known for portraying Bowser in several Nintendo Mario video games during the early 2000s.
-
E.
Michael Burns
Michael Burns is a film producer known for his work on projects such as the psychological horror movie "Bug" (2006).
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01a4ae8819085a6ce01fbc71b0f |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc06e6b481908d8032f5772762c9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.