Triple
T16774839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Renaissance |
E407694
|
entity |
| Predicate | hasNotableFigure |
P304
|
FINISHED |
| Object |
Gil Vicente
Gil Vicente was a pioneering Portuguese playwright and poet often regarded as the father of Portuguese drama and a key figure of the Renaissance in Portugal.
|
E1234050
|
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: Gil Vicente | Statement: [Portuguese Renaissance, hasNotableFigure, Gil Vicente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gil Vicente Context triple: [Portuguese Renaissance, hasNotableFigure, Gil Vicente]
-
A.
Alfonso Mondelo
Alfonso Mondelo is a Spanish football manager best known in the United States for his coaching roles in Major League Soccer and his work in player development.
-
B.
José Sancho
José Sancho was a Spanish film and television actor known for his character roles in acclaimed Spanish cinema and TV series.
-
C.
Francisco Boira
Francisco Boira is a Spanish actor best known for his role in Pedro Almodóvar’s acclaimed film "Bad Education."
-
D.
Pedro del Rey
Pedro del Rey is a film editor best known for his work on Luis Buñuel’s acclaimed 1961 film "Viridiana."
-
E.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
- 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: Gil Vicente Triple: [Portuguese Renaissance, hasNotableFigure, Gil Vicente]
Generated description
Gil Vicente was a pioneering Portuguese playwright and poet often regarded as the father of Portuguese drama and a key figure of the Renaissance in Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gil Vicente Target entity description: Gil Vicente was a pioneering Portuguese playwright and poet often regarded as the father of Portuguese drama and a key figure of the Renaissance in Portugal.
-
A.
Alfonso Mondelo
Alfonso Mondelo is a Spanish football manager best known in the United States for his coaching roles in Major League Soccer and his work in player development.
-
B.
José Sancho
José Sancho was a Spanish film and television actor known for his character roles in acclaimed Spanish cinema and TV series.
-
C.
Francisco Boira
Francisco Boira is a Spanish actor best known for his role in Pedro Almodóvar’s acclaimed film "Bad Education."
-
D.
Pedro del Rey
Pedro del Rey is a film editor best known for his work on Luis Buñuel’s acclaimed 1961 film "Viridiana."
-
E.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b038d0608190be15c758427bb664 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafc28c0819084ecd6e5be6adec9 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00abfe035881909330d356bb497229 |
completed | May 10, 2026, 4:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:22 a.m.