Triple
T69310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Carnegie |
E1385
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lolita Baucaire
Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
|
E13482
|
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: Lolita Baucaire | Statement: [Dale Carnegie, spouse, Lolita Baucaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolita Baucaire Context triple: [Dale Carnegie, spouse, Lolita Baucaire]
-
A.
Maryse Alberti
Maryse Alberti is an acclaimed French cinematographer known for her work on independent and documentary films, including projects like "The Wrestler" and "Creed."
-
B.
Madonna
Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
-
C.
Christina Aguilera
Christina Aguilera is an American pop and R&B singer known for her powerful vocal range, soulful performances, and hits like "Genie in a Bottle" and "Beautiful."
-
D.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
E.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
- 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: Lolita Baucaire Triple: [Dale Carnegie, spouse, Lolita Baucaire]
Generated description
Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolita Baucaire Target entity description: Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
-
A.
Maryse Alberti
Maryse Alberti is an acclaimed French cinematographer known for her work on independent and documentary films, including projects like "The Wrestler" and "Creed."
-
B.
Madonna
Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
-
C.
Christina Aguilera
Christina Aguilera is an American pop and R&B singer known for her powerful vocal range, soulful performances, and hits like "Genie in a Bottle" and "Beautiful."
-
D.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
E.
Estelle
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f045d38819088f5f71e39fa1ee7 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981ccdc0819093346109c126ea96 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a2987873d48190974c9847c3a51586 |
completed | Feb. 28, 2026, 7:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2992eef7881908cb4cff9d91aab98 |
completed | Feb. 28, 2026, 7:28 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.