Triple
T5676331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGMT |
E125093
|
entity |
| Predicate | studioAlbum |
P25507
|
FINISHED |
| Object | Little Dark Age |
E538177
|
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: Little Dark Age | Statement: [MGMT, studioAlbum, Little Dark Age]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Dark Age Context triple: [MGMT, studioAlbum, Little Dark Age]
-
A.
Little Dark Age
chosen
Little Dark Age is a synth-pop song by the American band MGMT, known for its dark, retro-inspired sound and widespread popularity, especially in internet culture.
-
B.
In the Dark
"In the Dark" is a 1987 studio album by the Grateful Dead that became their biggest commercial success, featuring the hit single "Touch of Grey."
-
C.
Out of the Dark
Out of the Dark is a collection of essays by Helen Keller in which she reflects on socialism, social justice, and her political beliefs.
-
D.
The Ages
"The Ages" is a reflective poem by William Cullen Bryant that meditates on the progression of human history and the moral development of civilization.
-
E.
War in the Dark
War in the Dark is a supernatural espionage novel by Nick Setchfield that blends Cold War spy thriller elements with occult horror.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023728f488190a3622844d78caa13 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:43 p.m.