Triple
T19140128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Outsiders |
E468533
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dark Side |
—
|
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: Dark Side | Statement: [The Outsiders, hasPart, Dark Side]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Side Context triple: [The Outsiders, hasPart, Dark Side]
-
A.
Dark Side
chosen
"Dark Side" is a song by American singer Kelly Clarkson from her fifth studio album "Stronger," exploring themes of vulnerability and acceptance.
-
B.
Dark Side of Night
Dark Side of Night is likely a track or segment from the work "Stop Drop and Roll!!!," contributing a darker or more atmospheric element to the overall project.
-
C.
Darkside
Darkside is a track by the American funeral doom metal band Funeral, known for its slow, heavy atmosphere and melancholic tone.
-
D.
Dark Side of the Spoon
Dark Side of the Spoon is a 1999 studio album by the American industrial metal band Ministry, known for its abrasive sound and dark, satirical themes.
-
E.
Darkness
"Darkness" is a track from Eminem’s album *Music to Be Murdered By* that narratively explores the psyche of a mass shooter while critiquing gun violence and media sensationalism.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3f094f88190996279d7b548edea |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.