Triple
T18085027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Threads |
E432809
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Beware of Darkness |
—
|
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: Beware of Darkness | Statement: [Threads, hasTrack, Beware of Darkness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beware of Darkness Context triple: [Threads, hasTrack, Beware of Darkness]
-
A.
Beware of Darkness
"Beware of Darkness" is a progressive rock album by Spock’s Beard, known for its complex compositions and melodic, symphonic style.
-
B.
Beware of Darkness
chosen
"Beware of Darkness" is a spiritually themed rock song by George Harrison, known for its introspective lyrics and rich, layered production.
-
C.
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.
-
D.
Light in Darkness
Light in Darkness is the English motto of the University of Liberia, expressing its mission to provide enlightenment and knowledge amid challenging circumstances.
-
E.
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.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fdb00c8190b4769699e94c8941 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.