Triple
T8171195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Mari Brás |
E190823
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mari Brás
Mari Brás was a prominent Puerto Rican lawyer, socialist leader, and advocate for Puerto Rican independence.
|
E716066
|
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: Mari Brás | Statement: [Juan Mari Brás, familyName, Mari Brás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mari Brás Context triple: [Juan Mari Brás, familyName, Mari Brás]
-
A.
Margarida
Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
-
B.
Bianca de Passe
Bianca de Passe is a character in the romantic comedy film "Bell, Book and Candle," depicted as a member of the modern-day witch community in New York City.
-
C.
Marida
Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
María
"María" is a film featuring actress Taryn Power in a significant role.
- 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: Mari Brás Triple: [Juan Mari Brás, familyName, Mari Brás]
Generated description
Mari Brás was a prominent Puerto Rican lawyer, socialist leader, and advocate for Puerto Rican independence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mari Brás Target entity description: Mari Brás was a prominent Puerto Rican lawyer, socialist leader, and advocate for Puerto Rican independence.
-
A.
Margarida
Margarida is a given name, commonly used in Portuguese and Catalan, that corresponds to the English name Margaret.
-
B.
Bianca de Passe
Bianca de Passe is a character in the romantic comedy film "Bell, Book and Candle," depicted as a member of the modern-day witch community in New York City.
-
C.
Marida
Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
María
"María" is a film featuring actress Taryn Power in a significant role.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb48056d0c819094575090a41e0083 |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf5cfd588190b12ef9b5799ffd88 |
completed | April 1, 2026, 6:46 a.m. |
| NEDg | Description generation | batch_69ccc312a8608190b899394752ef375f |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd84893488190ae5376524650d5c4 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.