Triple
T6613629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.S. Marítimo |
E149294
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Rui Fontes
Rui Fontes is a Portuguese football executive best known for leading C.S. Marítimo as its long-serving president.
|
E607334
|
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: Rui Fontes | Statement: [C.S. Marítimo, chairman, Rui Fontes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rui Fontes Context triple: [C.S. Marítimo, chairman, Rui Fontes]
-
A.
Rui Vieira de Castro
Rui Vieira de Castro is a Portuguese academic and higher-education administrator who serves as rector of the University of Minho.
-
B.
Rui Mateus
Rui Mateus is a Portuguese political figure known for his role in the early formation and leadership of the Socialist Party (Portugal).
-
C.
Rui Tavares
Rui Tavares is a Portuguese historian, writer, and politician known for his work on European history and his role as a Member of the European Parliament.
-
D.
Teresa Lourenço
Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
-
E.
Rui Sanches
Rui Sanches is a Portuguese contemporary artist known for his sculptural and installation works that often engage with architectural space and public environments.
- 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: Rui Fontes Triple: [C.S. Marítimo, chairman, Rui Fontes]
Generated description
Rui Fontes is a Portuguese football executive best known for leading C.S. Marítimo as its long-serving president.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rui Fontes Target entity description: Rui Fontes is a Portuguese football executive best known for leading C.S. Marítimo as its long-serving president.
-
A.
Rui Vieira de Castro
Rui Vieira de Castro is a Portuguese academic and higher-education administrator who serves as rector of the University of Minho.
-
B.
Rui Mateus
Rui Mateus is a Portuguese political figure known for his role in the early formation and leadership of the Socialist Party (Portugal).
-
C.
Rui Tavares
Rui Tavares is a Portuguese historian, writer, and politician known for his work on European history and his role as a Member of the European Parliament.
-
D.
Teresa Lourenço
Teresa Lourenço was a Portuguese noblewoman best known as the mother of King John I of Portugal, founder of the Avis dynasty.
-
E.
Rui Sanches
Rui Sanches is a Portuguese contemporary artist known for his sculptural and installation works that often engage with architectural space and public environments.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44154a08190b031bb74624fba1e |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e61218c4819084c170611077f0e6 |
completed | March 27, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e7ce9aa88190abd000a13c00a070 |
completed | March 27, 2026, 8:25 p.m. |
Created at: March 27, 2026, 1:57 p.m.