Triple
T8995271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Coleman |
E214887
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | The Revolution |
E229629
|
NE FINISHED |
How this triple was built (2 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 Revolution | Statement: [Lisa Coleman, memberOf, The Revolution]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Revolution Context triple: [Lisa Coleman, memberOf, The Revolution]
-
A.
The Revolution
chosen
The Revolution is the American funk rock band best known as Prince’s backing group during his peak 1980s period, including the Purple Rain era.
-
B.
The Revolution
The Revolution was a 19th-century American weekly newspaper founded by Susan B. Anthony and Elizabeth Cady Stanton that advocated for women's suffrage and broader social reforms.
-
C.
Revolution
Revolution is a stand-up comedy film and album by comedian Margaret Cho, featuring her politically charged and socially conscious humor.
-
D.
Revolution
Revolution is a steel shuttle roller coaster at Blackpool Pleasure Beach in England, known for featuring a single vertical loop traversed both forwards and backwards.
-
E.
Revolution
Revolution is a critically acclaimed country music album by American singer-songwriter Miranda Lambert, noted for its raw storytelling and artistic maturity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d0e6a08190a2faf4157b8a9cd4 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:04 p.m.