Triple
T1794215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Direct |
E39566
|
entity |
| Predicate | featuresVocalPerformanceBy |
P8086
|
FINISHED |
| Object |
Carol Kenyon
Carol Kenyon is a British singer best known for her powerful session and backing vocals on numerous 1980s pop and dance hits.
|
E258150
|
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: Carol Kenyon | Statement: [Direct, featuresVocalPerformanceBy, Carol Kenyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Kenyon Context triple: [Direct, featuresVocalPerformanceBy, Carol Kenyon]
-
A.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
B.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
C.
Caryn Elaine Johnson
Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
-
D.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
E.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
- 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: Carol Kenyon Triple: [Direct, featuresVocalPerformanceBy, Carol Kenyon]
Generated description
Carol Kenyon is a British singer best known for her powerful session and backing vocals on numerous 1980s pop and dance hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Kenyon Target entity description: Carol Kenyon is a British singer best known for her powerful session and backing vocals on numerous 1980s pop and dance hits.
-
A.
Carol Stevens
Carol Stevens is best known as one of the former wives of American novelist and journalist Norman Mailer.
-
B.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
C.
Caryn Elaine Johnson
Caryn Elaine Johnson is the birth name of Whoopi Goldberg, the acclaimed American actress, comedian, and television host.
-
D.
Katherine Lester
Katherine Lester is a central character in the period drama film "Lady Macbeth," known for her intense and morally complex journey portrayed by Florence Pugh.
-
E.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae95e04dc88190902f2ae5ae856b20 |
completed | March 9, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ae96b399608190bfa846c433612142 |
completed | March 9, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977aac9c8190b5fecd5fea8893fd |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:32 p.m.