Triple
T18483553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Chalk |
E451627
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Dear Darkness |
—
|
NE NERFINISHED |
How this triple was built (3 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: Dear Darkness | Statement: [White Chalk, hasTrack, Dear Darkness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Darkness Context triple: [White Chalk, hasTrack, Dear Darkness]
-
A.
In the Dark
"In the Dark" is a critically acclaimed documentary film by Sergey Dvortsevoy that intimately portrays the daily life and quiet struggles of a blind man living in post-Soviet Russia.
-
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.
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.
-
D.
Lessons of Darkness
Lessons of Darkness is a 1992 documentary film by Werner Herzog that presents haunting, poetic images of the post–Gulf War Kuwaiti oil fires in a stylized, almost science-fictional manner.
-
E.
Set in Darkness
Set in Darkness is a crime novel in Ian Rankin’s Inspector Rebus series, set in Edinburgh and blending a murder investigation with political intrigue around the re-establishment of the Scottish Parliament.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dear Darkness Target entity description: "Dear Darkness" is a haunting, piano-driven song by English singer-songwriter PJ Harvey from her album *White Chalk*.
-
A.
In the Dark
"In the Dark" is a critically acclaimed documentary film by Sergey Dvortsevoy that intimately portrays the daily life and quiet struggles of a blind man living in post-Soviet Russia.
-
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.
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.
-
D.
Lessons of Darkness
Lessons of Darkness is a 1992 documentary film by Werner Herzog that presents haunting, poetic images of the post–Gulf War Kuwaiti oil fires in a stylized, almost science-fictional manner.
-
E.
Set in Darkness
Set in Darkness is a crime novel in Ian Rankin’s Inspector Rebus series, set in Edinburgh and blending a murder investigation with political intrigue around the re-establishment of the Scottish Parliament.
- F. None of above. chosen
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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d5951c81909f44362bc4101333 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.