Triple
T942344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rui Mateus |
E20333
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mateus
Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
|
E110964
|
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: Mateus | Statement: [Rui Mateus, familyName, Mateus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateus Context triple: [Rui Mateus, familyName, Mateus]
-
A.
Tiago
Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
-
B.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
C.
Santi
Santi is the ghost of a murdered boy who haunts a remote orphanage in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
-
D.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
E.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
- 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: Mateus Triple: [Rui Mateus, familyName, Mateus]
Generated description
Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mateus Target entity description: Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
-
A.
Tiago
Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
-
B.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
C.
Santi
Santi is the ghost of a murdered boy who haunts a remote orphanage in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
-
D.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
E.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a1a4888190997adf56eb761431 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826e585208190bf477bf78d162e84 |
completed | March 4, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69a83365d590819085d8e92c1a69aa10 |
completed | March 4, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a834268c388190ac725f48be8f8ea6 |
completed | March 4, 2026, 1:31 p.m. |
Created at: March 1, 2026, 7:40 p.m.