Triple
T656903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella Fitzgerald |
E11667
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lady Ella
Lady Ella is the affectionate nickname of Ella Fitzgerald, the legendary American jazz singer renowned for her pure tone, impeccable diction, and virtuosic scat singing.
|
E100693
|
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: Lady Ella | Statement: [Ella Fitzgerald, nickname, Lady Ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Ella Context triple: [Ella Fitzgerald, nickname, Lady Ella]
-
A.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
B.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
E.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
- 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: Lady Ella Triple: [Ella Fitzgerald, nickname, Lady Ella]
Generated description
Lady Ella is the affectionate nickname of Ella Fitzgerald, the legendary American jazz singer renowned for her pure tone, impeccable diction, and virtuosic scat singing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Ella Target entity description: Lady Ella is the affectionate nickname of Ella Fitzgerald, the legendary American jazz singer renowned for her pure tone, impeccable diction, and virtuosic scat singing.
-
A.
Lilly Belle
Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
-
B.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
E.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927c75448190aafcaa955519833c |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a7965d1ce08190a1b6b30ffa23f974 |
completed | March 4, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a796b5cf708190ac3d11f80a3af7ce |
completed | March 4, 2026, 2:19 a.m. |
Created at: March 1, 2026, 7:36 p.m.