Triple
T13318752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Have Fun With God |
E317259
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Small Dub
"Small Dub" is a track from the album "Have Fun With God," likely featuring a minimalist, echo-laden dub interpretation of one of the record’s themes.
|
E1033608
|
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: Small Dub | Statement: [Have Fun With God, hasTrack, Small Dub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Small Dub Context triple: [Have Fun With God, hasTrack, Small Dub]
-
A.
Kleiner
Kleiner is a surname most notably associated with Eugene Kleiner, a pioneering Silicon Valley venture capitalist and co-founder of the firm Kleiner Perkins.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Mini
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
-
D.
Mini
Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
-
E.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
- 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: Small Dub Triple: [Have Fun With God, hasTrack, Small Dub]
Generated description
"Small Dub" is a track from the album "Have Fun With God," likely featuring a minimalist, echo-laden dub interpretation of one of the record’s themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Small Dub Target entity description: "Small Dub" is a track from the album "Have Fun With God," likely featuring a minimalist, echo-laden dub interpretation of one of the record’s themes.
-
A.
Kleiner
Kleiner is a surname most notably associated with Eugene Kleiner, a pioneering Silicon Valley venture capitalist and co-founder of the firm Kleiner Perkins.
-
B.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
C.
Mini
Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
-
D.
Mini
Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
-
E.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716ee695c81909ffeeb0901ee66c1 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717f4d80c8190a1a95c0f2c83c563 |
completed | May 3, 2026, 9:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718b852808190a2a0fb48424bffb0 |
completed | May 3, 2026, 9:43 a.m. |
Created at: April 9, 2026, 9:29 p.m.