Triple
T12200062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Tattoo |
E290686
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object |
Southern Stars
Southern Stars is a hard rock album by Australian band Rose Tattoo, showcasing their gritty, blues-infused pub rock sound.
|
E971468
|
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: Southern Stars | Statement: [Rose Tattoo, notableAlbum, Southern Stars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southern Stars Context triple: [Rose Tattoo, notableAlbum, Southern Stars]
-
A.
Tall Ferns
Tall Ferns is the nickname of New Zealand’s senior women’s national basketball team, which represents the country in international women’s basketball competitions.
-
B.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
C.
Stingers
Stingers is the nickname for the varsity sports teams representing Concordia University in Montreal, Canada.
-
D.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
E.
Charlotte Eagles
The Charlotte Eagles are an American professional soccer club known for their success in lower-division U.S. leagues and their strong Christian missionary orientation.
- 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: Southern Stars Triple: [Rose Tattoo, notableAlbum, Southern Stars]
Generated description
Southern Stars is a hard rock album by Australian band Rose Tattoo, showcasing their gritty, blues-infused pub rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southern Stars Target entity description: Southern Stars is a hard rock album by Australian band Rose Tattoo, showcasing their gritty, blues-infused pub rock sound.
-
A.
Tall Ferns
Tall Ferns is the nickname of New Zealand’s senior women’s national basketball team, which represents the country in international women’s basketball competitions.
-
B.
Lady Wolves
Lady Wolves is the women's basketball team representing Cheyney University of Pennsylvania in collegiate competition.
-
C.
Stingers
Stingers is the nickname for the varsity sports teams representing Concordia University in Montreal, Canada.
-
D.
Lady Jets
Lady Jets is the name of the women’s athletic teams representing South Georgia Technical College in intercollegiate sports.
-
E.
Charlotte Eagles
The Charlotte Eagles are an American professional soccer club known for their success in lower-division U.S. leagues and their strong Christian missionary orientation.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a933fc481909f9e062365bf05fc |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdbee288190991b08ae685bb401 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f610b8efe88190907e84247d9e8456 |
completed | May 2, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.