Triple
T7313813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cádiz Cathedral |
E168158
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Juan Daura
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
|
E655599
|
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: Juan Daura | Statement: [Cádiz Cathedral, architect, Juan Daura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Daura Context triple: [Cádiz Cathedral, architect, Juan Daura]
-
A.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
B.
Juan Rico
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
-
C.
Marcel Rodriguez
Marcel Rodriguez is a screenwriter best known for co-writing the family fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
-
D.
Armando Diaz
Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
-
E.
Cesar Rosas
Cesar Rosas is a Mexican-American musician best known as a vocalist and guitarist for the Grammy-winning rock band Los Lobos.
- 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: Juan Daura Triple: [Cádiz Cathedral, architect, Juan Daura]
Generated description
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Daura Target entity description: Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
-
A.
Hector Duran
Hector Duran is an American actor best known for his role as one of the young runners in the inspirational sports drama film "McFarland, USA."
-
B.
Juan Rico
Juan Rico is the fictional protagonist of Robert A. Heinlein’s military science fiction novel "Starship Troopers," known for his service in the Mobile Infantry fighting alien arachnids.
-
C.
Marcel Rodriguez
Marcel Rodriguez is a screenwriter best known for co-writing the family fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
-
D.
Armando Diaz
Armando Diaz was an Italian general best known for leading Italy to victory on the Italian Front during World War I, particularly at the Battle of Vittorio Veneto.
-
E.
Cesar Rosas
Cesar Rosas is a Mexican-American musician best known as a vocalist and guitarist for the Grammy-winning rock band Los Lobos.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ec03a7248190beb1dec612725e5b |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e56f4aa0819096d955e2ce298299 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6bf79d48190a7c30e3513e12070 |
completed | March 28, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e78b09488190a361bdd50bd28b71 |
completed | March 28, 2026, 2:36 p.m. |
Created at: March 27, 2026, 3:02 p.m.