Triple
T399808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustave Eiffel |
E9253
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marguerite Gaudelet
Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
|
E58773
|
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: Marguerite Gaudelet | Statement: [Gustave Eiffel, spouse, Marguerite Gaudelet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marguerite Gaudelet Context triple: [Gustave Eiffel, spouse, Marguerite Gaudelet]
-
A.
Marguerite De La Motte
Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
-
B.
Camille Lefèvre
Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
C.
Lucile Rosson
Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
-
D.
Marie Lamfrom
Marie Lamfrom was a German-born businesswoman and Holocaust refugee who co-founded Columbia Sportswear and helped build it into a major outdoor apparel company.
-
E.
Marie De Forest
Marie De Forest, better known as Marie Mosquini, was an American silent film actress who frequently appeared in Hal Roach comedies during the 1910s and 1920s.
- 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: Marguerite Gaudelet Triple: [Gustave Eiffel, spouse, Marguerite Gaudelet]
Generated description
Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marguerite Gaudelet Target entity description: Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
-
A.
Marguerite De La Motte
Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
-
B.
Camille Lefèvre
Camille Lefèvre was a Swiss architect best known for co-designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
C.
Lucile Rosson
Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
-
D.
Marie Lamfrom
Marie Lamfrom was a German-born businesswoman and Holocaust refugee who co-founded Columbia Sportswear and helped build it into a major outdoor apparel company.
-
E.
Marie De Forest
Marie De Forest, better known as Marie Mosquini, was an American silent film actress who frequently appeared in Hal Roach comedies during the 1910s and 1920s.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a457fba1d08190a8eb41271b59a693 |
completed | March 1, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69a45d7d7bc881908b0862cfe82b73c1 |
completed | March 1, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a45dd685cc819095bc100ce6c23a78 |
completed | March 1, 2026, 3:40 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.