Triple
T6496718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E=MC² |
E148775
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Side Effects |
E148871
|
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: Side Effects | Statement: [E=MC², hasTrack, Side Effects]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Side Effects Context triple: [E=MC², hasTrack, Side Effects]
-
A.
Side Effects
Side Effects is a 2013 psychological thriller film directed by Steven Soderbergh that explores the dark consequences of prescription medication and pharmaceutical manipulation.
-
B.
Side Effects
chosen
"Side Effects" is a song featured on the album "E=MC²," likely contributing to the record's overall musical and thematic style.
-
C.
Side Effects
"Side Effects" is a 2018 dance-pop single by American DJ duo The Chainsmokers featuring Emily Warren, known for its upbeat, summery sound and reflective lyrics.
-
D.
Consequences
"Consequences" is a memoir by Canadian author and former First Lady Margaret Trudeau, in which she reflects on her personal struggles, relationships, and mental health.
-
E.
Complications
Complications is an American medical drama television series centered on a disillusioned doctor whose impulsive actions after a shooting entangle him in the criminal underworld.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ace80108190804a835bc646b2b2 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb0988a081909f83af0a9da1b1f1 |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:41 p.m.