Triple
T10006291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Was |
E198250
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Was (Not Was)
Was (Not Was) is an American pop-funk band known for its eclectic blend of dance, rock, and R&B styles and its quirky, often surreal lyrics.
|
E836071
|
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: Was (Not Was) | Statement: [Don Was, memberOf, Was (Not Was)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Was (Not Was) Context triple: [Don Was, memberOf, Was (Not Was)]
-
A.
Always Was
Always Was is a politically charged hip hop track by Australian rapper Briggs that powerfully asserts Indigenous sovereignty and critiques colonial narratives.
-
B.
Never Really Was
"Never Really Was" is an R&B song by American singer Mario Winans, known for its smooth production and emotive, introspective lyrics.
-
C.
I Was There
"I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
-
D.
I Was There
"I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
-
E.
That Wasn’t Me
"That Wasn’t Me" is a soulful, gospel-tinged folk-rock song by Brandi Carlile that reflects on addiction, redemption, and personal transformation.
- 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: Was (Not Was) Triple: [Don Was, memberOf, Was (Not Was)]
Generated description
Was (Not Was) is an American pop-funk band known for its eclectic blend of dance, rock, and R&B styles and its quirky, often surreal lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Was (Not Was) Target entity description: Was (Not Was) is an American pop-funk band known for its eclectic blend of dance, rock, and R&B styles and its quirky, often surreal lyrics.
-
A.
Always Was
Always Was is a politically charged hip hop track by Australian rapper Briggs that powerfully asserts Indigenous sovereignty and critiques colonial narratives.
-
B.
Never Really Was
"Never Really Was" is an R&B song by American singer Mario Winans, known for its smooth production and emotive, introspective lyrics.
-
C.
I Was There
"I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
-
D.
I Was There
"I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
-
E.
Never Did
"Never Did" is a track from the hip-hop duo Learning, showcasing their style and musical themes.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd16afb481909a5d5893e024683f |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5d7e088190b5b1a852bfdc9073 |
completed | April 5, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69d26ce0394c8190b8ea0c2ce125ef1b |
completed | April 5, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d270ad815481909806533bc8480c09 |
completed | April 5, 2026, 2:24 p.m. |
Created at: March 30, 2026, 8:51 p.m.