Triple
T17889180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who We Used to Be |
E447269
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Red Triangle
Red Triangle is a British songwriting and production duo known for crafting pop hits for major contemporary artists.
|
E1293895
|
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: Red Triangle | Statement: [Who We Used to Be, producer, Red Triangle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Triangle Context triple: [Who We Used to Be, producer, Red Triangle]
-
A.
Black Triangle
Black Triangle is a renowned photographic project and book by Josef Koudelka documenting the environmental devastation and industrial landscape of the Czech-German-Polish border region.
-
B.
Red star
The red star is a widely recognized emblem of communism and socialism, historically associated with the Soviet Union and its military forces.
-
C.
Pink Triangle
"Pink Triangle" is a song by the American rock band Weezer, known for its narrative about mistaken sexual orientation and unrequited love.
-
D.
Tricolor
Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
-
E.
Triskelion
The Triskelion is a massive high-tech headquarters and command center used by the Marvel Universe intelligence agency S.H.I.E.L.D.
- 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: Red Triangle Triple: [Who We Used to Be, producer, Red Triangle]
Generated description
Red Triangle is a British songwriting and production duo known for crafting pop hits for major contemporary artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Triangle Target entity description: Red Triangle is a British songwriting and production duo known for crafting pop hits for major contemporary artists.
-
A.
Black Triangle
Black Triangle is a renowned photographic project and book by Josef Koudelka documenting the environmental devastation and industrial landscape of the Czech-German-Polish border region.
-
B.
Red star
The red star is a widely recognized emblem of communism and socialism, historically associated with the Soviet Union and its military forces.
-
C.
Pink Triangle
"Pink Triangle" is a song by the American rock band Weezer, known for its narrative about mistaken sexual orientation and unrequited love.
-
D.
Tricolor
Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
-
E.
Triskelion
The Triskelion is a massive high-tech headquarters and command center used by the Marvel Universe intelligence agency S.H.I.E.L.D.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c15f8b08190ac8d134e32d62d18 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313deda808190853bfcfb16c7909e |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a03153fdc848190af79246027864a48 |
completed | May 12, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03164881ec8190a783b095f3cf47b3 |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:18 a.m.