Triple
T14623233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Us and the Night |
E343275
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object | In the Dark |
E134955
|
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: In the Dark | Statement: [Us and the Night, leadSingle, In the Dark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In the Dark Context triple: [Us and the Night, leadSingle, In the Dark]
-
A.
In the Dark
chosen
"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."
-
B.
Only the Dark
"Only the Dark" is a song by the band Hotspot, likely within the rock or alternative genre.
-
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.
After the Dark
After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
-
E.
The Darkest Dark
The Darkest Dark is a children's picture book by astronaut Chris Hadfield that uses his childhood fear of the dark to inspire young readers to embrace curiosity and pursue their dreams.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb468acc4819083b7e818d5cec809 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf078c1248190889ce04cffbf51dc |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:26 a.m.