Triple
T8696334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acid Tongue |
E206412
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Black Sand
"Black Sand" is a song by the American rock band Acid Tongue, known for its gritty, psychedelic-tinged garage rock sound.
|
E750788
|
NE FINISHED |
How this triple was built (4 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: Black Sand | Statement: [Acid Tongue, hasTrack, Black Sand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Sand Context triple: [Acid Tongue, hasTrack, Black Sand]
-
A.
Black Sands
Black Sands is a scenic, dark-sand beach near Aberdour on Scotland’s Fife coast, known for its coastal views and seaside recreation.
-
B.
Sea of Sand
The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
-
C.
Sinking Sands
Sinking Sands is a Ghanaian psychological drama film that explores the destructive impact of domestic violence on a young couple’s marriage.
-
D.
Red Blood, Black Sand
Red Blood, Black Sand is a World War II memoir by Marine veteran Chuck Tatum recounting his harrowing experiences during the Battle of Iwo Jima.
-
E.
Rivers of Sand
Rivers of Sand is an ethnographic documentary film by Robert Gardner that explores the social and cultural life of the Hamar people of southwestern Ethiopia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Black Sand Triple: [Acid Tongue, hasTrack, Black Sand]
Generated description
"Black Sand" is a song by the American rock band Acid Tongue, known for its gritty, psychedelic-tinged garage rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Sand Target entity description: "Black Sand" is a song by the American rock band Acid Tongue, known for its gritty, psychedelic-tinged garage rock sound.
-
A.
Black Sands
Black Sands is a scenic, dark-sand beach near Aberdour on Scotland’s Fife coast, known for its coastal views and seaside recreation.
-
B.
Sea of Sand
The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
-
C.
Sinking Sands
Sinking Sands is a Ghanaian psychological drama film that explores the destructive impact of domestic violence on a young couple’s marriage.
-
D.
Red Blood, Black Sand
Red Blood, Black Sand is a World War II memoir by Marine veteran Chuck Tatum recounting his harrowing experiences during the Battle of Iwo Jima.
-
E.
Rivers of Sand
Rivers of Sand is an ethnographic documentary film by Robert Gardner that explores the social and cultural life of the Hamar people of southwestern Ethiopia.
- F. None of above. chosen
Provenance (5 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582996a0819097ad03097ad1f103 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3fc5a788190a765942fc0b964c9 |
completed | April 2, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69cef52200788190a8173da1aaa4f681 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef6c109b08190bb29ce2747f3ccb7 |
completed | April 2, 2026, 11:07 p.m. |
Created at: March 30, 2026, 6:34 p.m.