Triple
T5558801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | André Breton |
E145713
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elisa Claro
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
|
E532257
|
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: Elisa Claro | Statement: [André Breton, spouse, Elisa Claro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisa Claro Context triple: [André Breton, spouse, Elisa Claro]
-
A.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
B.
Eliane Cavalleiro
Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
-
C.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
D.
Manuela Veloso
Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
-
E.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
- 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: Elisa Claro Triple: [André Breton, spouse, Elisa Claro]
Generated description
Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elisa Claro Target entity description: Elisa Claro was the wife of French writer and Surrealist movement founder André Breton.
-
A.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
B.
Eliane Cavalleiro
Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
-
C.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
D.
Manuela Veloso
Manuela Veloso is a prominent computer scientist and roboticist known for her pioneering work in artificial intelligence and multi-agent robotics.
-
E.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028424ddc8190869b530a8eb43f50 |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c0349f64c0819083b39d8b7960a393 |
completed | March 22, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0354e95808190b4386e2796291dba |
completed | March 22, 2026, 6:30 p.m. |
Created at: March 22, 2026, 3:36 p.m.