Triple
T18591002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How High the Moon |
E454366
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Nancy Hamilton
Nancy Hamilton was an American lyricist, playwright, and actress best known for her work on popular songs and Broadway revues in the mid-20th century.
|
E1509593
|
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: Nancy Hamilton | Statement: [How High the Moon, lyricist, Nancy Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Hamilton Context triple: [How High the Moon, lyricist, Nancy Hamilton]
-
A.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
B.
Nancy Murray
Nancy Murray is a private individual known primarily as a relative of Caleb Murray.
-
C.
Nancy Morgan
Nancy Morgan is an American actress known for her film and television work and for her former marriage to actor John Ritter.
-
D.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
E.
Nancy Lindsay
Nancy Lindsay was a British plantswoman and garden designer known for continuing her mother Norah Lindsay’s horticultural legacy and for her plant-collecting travels.
- 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: Nancy Hamilton Triple: [How High the Moon, lyricist, Nancy Hamilton]
Generated description
Nancy Hamilton was an American lyricist, playwright, and actress best known for her work on popular songs and Broadway revues in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Hamilton Target entity description: Nancy Hamilton was an American lyricist, playwright, and actress best known for her work on popular songs and Broadway revues in the mid-20th century.
-
A.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
B.
Nancy Murray
Nancy Murray is a private individual known primarily as a relative of Caleb Murray.
-
C.
Nancy Morgan
Nancy Morgan is an American actress known for her film and television work and for her former marriage to actor John Ritter.
-
D.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
-
E.
Nancy Lindsay
Nancy Lindsay was a British plantswoman and garden designer known for continuing her mother Norah Lindsay’s horticultural legacy and for her plant-collecting travels.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60c90c3081909f40801105c3da53 |
completed | May 18, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_6a0a62148bcc8190821fce96fbe6fd69 |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a627395d081909c2fd9e49284a236 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 10, 2026, 11:44 a.m.