Triple
T5588002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dame D.O.L.L.A. |
E146802
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Paul Rey
Paul Rey is a Swedish pop singer-songwriter known for his melodic, emotionally driven songs and collaborations with international artists.
|
E536350
|
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: Paul Rey | Statement: [Dame D.O.L.L.A., collaboratedWith, Paul Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Rey Context triple: [Dame D.O.L.L.A., collaboratedWith, Paul Rey]
-
A.
Paul Boray
Paul Boray is the driven, emotionally tormented violinist protagonist of the film "Humoresque," whose passion for music shapes his turbulent personal and professional life.
-
B.
Paul Christman
Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
-
C.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
D.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
E.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
- 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: Paul Rey Triple: [Dame D.O.L.L.A., collaboratedWith, Paul Rey]
Generated description
Paul Rey is a Swedish pop singer-songwriter known for his melodic, emotionally driven songs and collaborations with international artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Rey Target entity description: Paul Rey is a Swedish pop singer-songwriter known for his melodic, emotionally driven songs and collaborations with international artists.
-
A.
Paul Boray
Paul Boray is the driven, emotionally tormented violinist protagonist of the film "Humoresque," whose passion for music shapes his turbulent personal and professional life.
-
B.
Paul Christman
Paul Christman was an American football quarterback who became a prominent television sportscaster in the 1950s and 1960s.
-
C.
Michel Fessler
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
D.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
E.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2f8710819094f5d052b767b9a6 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e879a8c8190942968982223f6e4 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3c31b48190aeefd41bea55d367 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:38 p.m.