Triple
T6582270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Lines |
E157324
|
entity |
| Predicate | titleInOriginalLanguage |
P13516
|
FINISHED |
| Object | Schwarze Linien |
E157324
|
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: Schwarze Linien | Statement: [Black Lines, titleInOriginalLanguage, Schwarze Linien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwarze Linien Context triple: [Black Lines, titleInOriginalLanguage, Schwarze Linien]
-
A.
Black Lines
chosen
Black Lines is an abstract painting by Wassily Kandinsky that exemplifies his pioneering use of bold linear forms and vibrant color to explore non-representational expression.
-
B.
White Line
"White Line" is a grungy, guitar-driven rock song by Neil Young and Crazy Horse from the 1990 album *Ragged Glory*.
-
C.
Figures in Black
Figures in Black is a critical work of literary and cultural analysis by Henry Louis Gates Jr. that explores Black representation, language, and identity in African American literature.
-
D.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
E.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae9238b481909278316ef195018d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d572c4708190844f4b1abee8ca86 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:54 p.m.