Triple
T12843559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourmarin |
E307114
|
entity |
| Predicate | hasNotableResident |
P1092
|
FINISHED |
| Object |
Henri Bosco
Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
|
E1015719
|
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: Henri Bosco | Statement: [Lourmarin, hasNotableResident, Henri Bosco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri Bosco Context triple: [Lourmarin, hasNotableResident, Henri Bosco]
-
A.
Francis Pierlot
Francis Pierlot was an American character actor known for his supporting roles in early 20th-century stage and film productions.
-
B.
Gilbert Guillemard
Gilbert Guillemard was an architect known for designing the Presbytère, a notable historic building in New Orleans’ French Quarter.
-
C.
Bernard Accoyer
Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
-
D.
Georges Benoît
Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
-
E.
Léon Colbert
Léon Colbert is a relatively obscure individual about whom no widely known public or historical information is readily available.
- 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: Henri Bosco Triple: [Lourmarin, hasNotableResident, Henri Bosco]
Generated description
Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henri Bosco Target entity description: Henri Bosco was a 20th-century French novelist and poet known for his evocative, mystical depictions of rural Provence and its landscapes.
-
A.
Francis Pierlot
Francis Pierlot was an American character actor known for his supporting roles in early 20th-century stage and film productions.
-
B.
Gilbert Guillemard
Gilbert Guillemard was an architect known for designing the Presbytère, a notable historic building in New Orleans’ French Quarter.
-
C.
Bernard Accoyer
Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
-
D.
Georges Benoît
Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
-
E.
Léon Colbert
Léon Colbert is a relatively obscure individual about whom no widely known public or historical information is readily available.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e393fc8190812380a3e41778bf |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 5:35 p.m.