Triple
T4808078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Baez, Vol. 2 |
E106994
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Barbara Allen
"Barbara Allen" is a traditional English/Scottish folk ballad widely recorded and performed in American and British folk music.
|
E471652
|
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: Barbara Allen | Statement: [Joan Baez, Vol. 2, hasTrack, Barbara Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Allen Context triple: [Joan Baez, Vol. 2, hasTrack, Barbara Allen]
-
A.
Barbara Jo Allen
Barbara Jo Allen was an American actress and comedian best known for her character "Vera Vague" and for her voice work in classic Hollywood films and radio.
-
B.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
C.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
D.
Maud Younger
Maud Younger was an American suffragist, labor activist, and social reformer who played a prominent role in the women’s rights movement in the early 20th century.
-
E.
Margaret Corbin
Margaret Corbin was an American Revolutionary War heroine who took over her fallen husband's cannon during battle, becoming one of the first women to fight in the war and receive a military pension.
- 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: Barbara Allen Triple: [Joan Baez, Vol. 2, hasTrack, Barbara Allen]
Generated description
"Barbara Allen" is a traditional English/Scottish folk ballad widely recorded and performed in American and British folk music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Allen Target entity description: "Barbara Allen" is a traditional English/Scottish folk ballad widely recorded and performed in American and British folk music.
-
A.
Barbara Jo Allen
Barbara Jo Allen was an American actress and comedian best known for her character "Vera Vague" and for her voice work in classic Hollywood films and radio.
-
B.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
C.
Mary Ellen
Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
-
D.
Maud Younger
Maud Younger was an American suffragist, labor activist, and social reformer who played a prominent role in the women’s rights movement in the early 20th century.
-
E.
Margaret Corbin
Margaret Corbin was an American Revolutionary War heroine who took over her fallen husband's cannon during battle, becoming one of the first women to fight in the war and receive a military pension.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c6a98a481909ef273d9946906a4 |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4da6a9b4819083706381a57e2c73 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4ea556148190819480e219fc7c2c |
completed | March 21, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f57ed4881908c03c76c0b3c733d |
completed | March 21, 2026, 7:57 a.m. |
Created at: March 20, 2026, 1:23 p.m.