Triple
T18877722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Carrero Blanco |
E461731
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Luis
Luis is the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
|
E1349859
|
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: Luis | Statement: [Luis Carrero Blanco, givenName, Luis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Context triple: [Luis Carrero Blanco, givenName, Luis]
-
A.
Luis
Luis is a friendly human character on Sesame Street who often interacts warmly with Big Bird and the other residents of the neighborhood.
-
B.
Luis
Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
-
C.
Luis
Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
-
D.
Luis
Luis de Velasco y Aragón was a Spanish nobleman and colonial administrator who served as Viceroy of New Spain and later of Peru in the late 17th and early 18th centuries.
-
E.
Luis
Luis was a Portuguese infante and nobleman who held the title Duke of Beja in the 16th century.
- 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: Luis Triple: [Luis Carrero Blanco, givenName, Luis]
Generated description
Luis is the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Target entity description: Luis is the given name of Luis Carrero Blanco, a prominent Spanish admiral and statesman who served as Prime Minister under Francisco Franco.
-
A.
Luis
Luis is the Spanish given name of Louis I of Spain, an 18th-century Bourbon king who briefly ruled the country.
-
B.
Luis
Luis is a common Spanish given name derived from the Germanic name Ludwig, widely used across Spanish-speaking countries.
-
C.
Luis
Luis de Velasco y Aragón was a Spanish nobleman and colonial administrator who served as Viceroy of New Spain and later of Peru in the late 17th and early 18th centuries.
-
D.
Luis
Luis was a Portuguese infante and nobleman who held the title Duke of Beja in the 16th century.
-
E.
Luis
Luis is a comedic supporting character in the Marvel Cinematic Universe, best known as Scott Lang’s fast-talking friend and former cellmate in the Ant-Man films.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cfc4408190a7ae91459f75be52 |
completed | April 20, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059107424881909f8c08cf137b6e55 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05961fab888190bb34bc40286ea647 |
completed | May 14, 2026, 9:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05966ac1b48190bfb13754b2b6b610 |
completed | May 14, 2026, 9:31 a.m. |
Created at: April 10, 2026, 11:57 a.m.