Triple
T16677345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back into Your System |
E405245
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Storm |
E663028
|
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: Storm | Statement: [Back into Your System, hasPart, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Back into Your System, hasPart, Storm]
-
A.
Storm
chosen
"Storm" is a track by Blue Electric Light, likely featuring an energetic, electrified sound that reflects the band's style.
-
B.
Storm
Storm is a common surname shared by various real and fictional individuals, notably including members of the superhero team the Fantastic Four.
-
C.
Storm
Storm was a professional arena football team based in Tampa Bay, Florida, that competed in the Arena Football League.
-
D.
Storm
Storm is a 2009 European drama film starring Anamaria Marinca that follows a war crimes trial at the International Criminal Tribunal in The Hague.
-
E.
Storm
Storm is the athletic mascot representing Simpson College’s sports teams.
- 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_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009194ad188190aae3371c97abc045 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.