Triple
T6319612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Brecheret |
E141704
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
|
E585332
|
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: Brecheret | Statement: [Victor Brecheret, familyName, Brecheret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brecheret Context triple: [Victor Brecheret, familyName, Brecheret]
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
C.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
D.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
E.
Clapis
Clapis is a rock climbing sector located in the Dentelles de Montmirail limestone massif in southeastern France, known for its scenic routes and varied sport climbs.
- 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: Brecheret Triple: [Victor Brecheret, familyName, Brecheret]
Generated description
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brecheret Target entity description: Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
A.
Bardaï
Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
-
B.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
C.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
D.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
E.
Clapis
Clapis is a rock climbing sector located in the Dentelles de Montmirail limestone massif in southeastern France, known for its scenic routes and varied sport climbs.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c4ed7c8190bd066dc7cd3d1329 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48485308190adc2208ad46faaa7 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f50ea1f08190bc475eab7b3ec6f0 |
completed | March 27, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f57691cc8190b07ecfa16d1eac20 |
completed | March 27, 2026, 3:11 a.m. |
Created at: March 22, 2026, 4:29 p.m.