Triple
T20161601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine On, Harvest Moon |
E491718
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Nora Bayes
Nora Bayes was an American singer, comedian, and vaudeville star of the early 20th century who became widely known for her popular songs and stage performances.
|
E1415021
|
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: Nora Bayes | Statement: [Shine On, Harvest Moon, composer, Nora Bayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Bayes Context triple: [Shine On, Harvest Moon, composer, Nora Bayes]
-
A.
Peg Woffington
Peg Woffington is a novel by Charles Reade that fictionalizes the life and career of the celebrated 18th-century Irish actress Margaret "Peg" Woffington.
-
B.
Sophia Lloyd
Sophia Lloyd is an individual known primarily as the sibling of Lucy Lloyd.
-
C.
Hannah Gibson
Hannah Gibson is the wife of American blues-rock guitarist Kenny Wayne Shepherd and a member of the Gibson family, known for her connection to actor and filmmaker Mel Gibson.
-
D.
Miriam Nesbitt
Miriam Nesbitt was an early 20th-century American stage and silent film actress.
-
E.
Nelly Ternan
Nelly Ternan was a 19th-century English actress best known as the long-term mistress and muse of novelist Charles Dickens.
- 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: Nora Bayes Triple: [Shine On, Harvest Moon, composer, Nora Bayes]
Generated description
Nora Bayes was an American singer, comedian, and vaudeville star of the early 20th century who became widely known for her popular songs and stage performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Bayes Target entity description: Nora Bayes was an American singer, comedian, and vaudeville star of the early 20th century who became widely known for her popular songs and stage performances.
-
A.
Peg Woffington
Peg Woffington is a novel by Charles Reade that fictionalizes the life and career of the celebrated 18th-century Irish actress Margaret "Peg" Woffington.
-
B.
Sophia Lloyd
Sophia Lloyd is an individual known primarily as the sibling of Lucy Lloyd.
-
C.
Hannah Gibson
Hannah Gibson is the wife of American blues-rock guitarist Kenny Wayne Shepherd and a member of the Gibson family, known for her connection to actor and filmmaker Mel Gibson.
-
D.
Miriam Nesbitt
Miriam Nesbitt was an early 20th-century American stage and silent film actress.
-
E.
Nelly Ternan
Nelly Ternan was a 19th-century English actress best known as the long-term mistress and muse of novelist Charles Dickens.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e43940819080f6a0b7331aaab0 |
completed | April 20, 2026, 5:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08347b41d8819086bd36e5e04c69ad |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08359866c481908aa30ac61e18bcb0 |
completed | May 16, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08361f64a08190af3305685a50f001 |
completed | May 16, 2026, 9:17 a.m. |
Created at: April 11, 2026, 11:34 p.m.