Triple
T2154236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia de Havilland |
E47849
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Lilian Fontaine
Lilian Fontaine was a British-born actress and the mother of famed Hollywood stars Olivia de Havilland and Joan Fontaine.
|
E245107
|
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: Lilian Fontaine | Statement: [Olivia de Havilland, relative, Lilian Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilian Fontaine Context triple: [Olivia de Havilland, relative, Lilian Fontaine]
-
A.
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.
-
B.
Evangeline Bellefontaine
Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
-
C.
Alix de Foresta
Alix de Foresta is a French aristocrat best known as the wife of Louis Napoléon, Prince Napoléon, a claimant to the former imperial throne of France.
-
D.
Charlotte Charpentier
Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
-
E.
Marguerite Gaudelet
Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
- 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: Lilian Fontaine Triple: [Olivia de Havilland, relative, Lilian Fontaine]
Generated description
Lilian Fontaine was a British-born actress and the mother of famed Hollywood stars Olivia de Havilland and Joan Fontaine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilian Fontaine Target entity description: Lilian Fontaine was a British-born actress and the mother of famed Hollywood stars Olivia de Havilland and Joan Fontaine.
-
A.
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.
-
B.
Evangeline Bellefontaine
Evangeline Bellefontaine is a fictional protagonist, likely from a narrative centered on her personal journey, relationships, and transformative experiences.
-
C.
Alix de Foresta
Alix de Foresta is a French aristocrat best known as the wife of Louis Napoléon, Prince Napoléon, a claimant to the former imperial throne of France.
-
D.
Charlotte Charpentier
Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
-
E.
Marguerite Gaudelet
Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe64fdf081909a5ea6818bddd18c |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae653677ec8190ab0b044e005a9947 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6656f7788190818179d923b11bba |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66cc3ac0819096e3f246b10e7761 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.