Triple
T925290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Dickson |
E19969
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Evita
Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
|
E109717
|
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: Evita | Statement: [Barbara Dickson, notableWork, Evita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evita Context triple: [Barbara Dickson, notableWork, Evita]
-
A.
Bohemian Rhapsody
Bohemian Rhapsody is a 2018 biographical drama film about the rock band Queen and its lead singer Freddie Mercury, charting their rise to fame and the creation of their iconic music.
-
B.
Rocketman
Rocketman is a 2019 musical fantasy biopic film about the life and career of musician Elton John.
-
C.
The Greatest
"The Greatest" is a 1977 biographical sports drama film about Muhammad Ali, in which Ali portrays himself.
-
D.
Queen of the Movies
Queen of the Movies is the famous nickname of silent film star Mary Pickford, reflecting her status as one of early Hollywood’s most beloved and influential actresses.
-
E.
The Queen
The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
- 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: Evita Triple: [Barbara Dickson, notableWork, Evita]
Generated description
Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evita Target entity description: Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
-
A.
Bohemian Rhapsody
Bohemian Rhapsody is a 2018 biographical drama film about the rock band Queen and its lead singer Freddie Mercury, charting their rise to fame and the creation of their iconic music.
-
B.
Rocketman
Rocketman is a 2019 musical fantasy biopic film about the life and career of musician Elton John.
-
C.
The Greatest
"The Greatest" is a 1977 biographical sports drama film about Muhammad Ali, in which Ali portrays himself.
-
D.
Queen of the Movies
Queen of the Movies is the famous nickname of silent film star Mary Pickford, reflecting her status as one of early Hollywood’s most beloved and influential actresses.
-
E.
The Queen
The Queen is a 2006 British drama film directed by Stephen Frears that portrays the British royal family's response to the death of Princess Diana, featuring a celebrated score by Alexandre Desplat.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b32ad9f88190b7d477d0a9a9dbc8 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee0becc0819089b3dadc618cf83c |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f3607c70819080c5e3e49ccc6de5 |
completed | March 4, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f3d1e97881909cbb97a8ca89c574 |
completed | March 4, 2026, 8:56 a.m. |
Created at: March 1, 2026, 7:40 p.m.