Triple
T12200031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Tattoo |
E290686
|
entity |
| Predicate | associatedBand |
P6597
|
FINISHED |
| Object |
The Angels (Australian band)
The Angels are a pioneering Australian hard rock band, formed in Adelaide in the 1970s, known for their high-energy live performances and influential role in the country’s pub rock scene.
|
E971459
|
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: The Angels (Australian band) | Statement: [Rose Tattoo, associatedBand, The Angels (Australian band)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Angels (Australian band) Context triple: [Rose Tattoo, associatedBand, The Angels (Australian band)]
-
A.
Gay Angels
"Gay Angels" is a song featured on the album "Learning" by the artist Perfume Genius.
-
B.
Holy Angels
Holy Angels are celestial beings in Christian theology who serve as God’s messengers and protectors of humanity.
-
C.
Men at Work
Men at Work is a 1990 comedy film starring Emilio Estevez and Charlie Sheen as garbage collectors who become entangled in a criminal conspiracy.
-
D.
Crowes
Crowes is a surname variant of Crowe, borne by various individuals and families of English or Irish origin.
-
E.
Angels
"Angels" is a song featured on Diddy – Dirty Money's R&B/hip-hop concept album "Last Train to Paris."
- 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: The Angels (Australian band) Triple: [Rose Tattoo, associatedBand, The Angels (Australian band)]
Generated description
The Angels are a pioneering Australian hard rock band, formed in Adelaide in the 1970s, known for their high-energy live performances and influential role in the country’s pub rock scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Angels (Australian band) Target entity description: The Angels are a pioneering Australian hard rock band, formed in Adelaide in the 1970s, known for their high-energy live performances and influential role in the country’s pub rock scene.
-
A.
Gay Angels
"Gay Angels" is a song featured on the album "Learning" by the artist Perfume Genius.
-
B.
Holy Angels
Holy Angels are celestial beings in Christian theology who serve as God’s messengers and protectors of humanity.
-
C.
Men at Work
Men at Work is a 1990 comedy film starring Emilio Estevez and Charlie Sheen as garbage collectors who become entangled in a criminal conspiracy.
-
D.
Crowes
Crowes is a surname variant of Crowe, borne by various individuals and families of English or Irish origin.
-
E.
Angels
"Angels" is a song featured on Diddy – Dirty Money's R&B/hip-hop concept album "Last Train to Paris."
- 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.