Triple
T23415393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born to Dance |
E560190
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Nora Paige
Nora Paige is a fictional dancer and performer who serves as a central character in the 1936 musical film "Born to Dance."
|
E1590098
|
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 Paige | Statement: [Born to Dance, featuresCharacter, Nora Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Paige Context triple: [Born to Dance, featuresCharacter, Nora Paige]
-
A.
Nora Hayden
Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
-
B.
Nora Rowley
Nora Rowley is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," notable for her intelligence, independence, and complex romantic choices within Victorian society.
-
C.
Nora Dunn
Nora Dunn is an American actress and comedian best known as a cast member on "Saturday Night Live" in the late 1980s and for her numerous film and television roles.
-
D.
Nora Payne
Nora Payne is a songwriter best known for co-writing the song "What About Us?".
-
E.
Nora Lang
Nora Lang was an editor known for her work on Andrew Lang’s popular collection of folk and fairy tales, including volumes such as *The Crimson Fairy Book*.
- 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 Paige Triple: [Born to Dance, featuresCharacter, Nora Paige]
Generated description
Nora Paige is a fictional dancer and performer who serves as a central character in the 1936 musical film "Born to Dance."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nora Paige Target entity description: Nora Paige is a fictional dancer and performer who serves as a central character in the 1936 musical film "Born to Dance."
-
A.
Nora Hayden
Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
-
B.
Nora Rowley
Nora Rowley is a central fictional character in Anthony Trollope’s novel "He Knew He Was Right," notable for her intelligence, independence, and complex romantic choices within Victorian society.
-
C.
Nora Dunn
Nora Dunn is an American actress and comedian best known as a cast member on "Saturday Night Live" in the late 1980s and for her numerous film and television roles.
-
D.
Nora Payne
Nora Payne is a songwriter best known for co-writing the song "What About Us?".
-
E.
Nora Lang
Nora Lang was an editor known for her work on Andrew Lang’s popular collection of folk and fairy tales, including volumes such as *The Crimson Fairy Book*.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a514b1d08190bbde2c3714c996fd |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf3454dc819090ca314b8a9b946d |
completed | May 19, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_6a0ce113d3d88190b97af92272a5100f |
completed | May 19, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce187efa48190876f67fef4873af2 |
completed | May 19, 2026, 10:17 p.m. |
Created at: April 17, 2026, 5:39 p.m.