Triple
T14798445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messía de la Cerda |
E347840
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
de la Cerda
De la Cerda is a Spanish noble family name historically associated with aristocratic lineages and titles.
|
E70002
|
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: de la Cerda | Statement: [Messía de la Cerda, hasFamilyName, de la Cerda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de la Cerda Context triple: [Messía de la Cerda, hasFamilyName, de la Cerda]
-
A.
Ortiz de Gaete
Ortiz de Gaete is a Spanish surname historically associated with the family of Marina Ortiz de Gaete, wife of conquistador Pedro de Valdivia.
-
B.
Pedro Messía de la Cerda
Pedro Messía de la Cerda was an 18th-century Spanish naval officer and colonial administrator who served as a prominent viceroy in Spanish South America.
-
C.
Alfonso de Galarreta
Alfonso de Galarreta is a Spanish-born traditionalist Catholic bishop and prominent member of the Society of Saint Pius X.
-
D.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
E.
Cortes of León
The Cortes of León were an early medieval representative assembly in the Kingdom of León, often considered one of the first parliamentary bodies in European history.
- 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: de la Cerda Triple: [Messía de la Cerda, hasFamilyName, de la Cerda]
Generated description
De la Cerda is a Spanish noble family name historically associated with aristocratic lineages and titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de la Cerda Target entity description: De la Cerda is a Spanish noble family name historically associated with aristocratic lineages and titles.
-
A.
Ortiz de Gaete
Ortiz de Gaete is a Spanish surname historically associated with the family of Marina Ortiz de Gaete, wife of conquistador Pedro de Valdivia.
-
B.
Pedro Messía de la Cerda
chosen
Pedro Messía de la Cerda was an 18th-century Spanish naval officer and colonial administrator who served as a prominent viceroy in Spanish South America.
-
C.
Alfonso de Galarreta
Alfonso de Galarreta is a Spanish-born traditionalist Catholic bishop and prominent member of the Society of Saint Pius X.
-
D.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
E.
Cortes of León
The Cortes of León were an early medieval representative assembly in the Kingdom of León, often considered one of the first parliamentary bodies in European history.
- F. None of above.
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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c2cd848190bb0d8e4b5f7a489c |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe264b234881909903ebfc1039ec72 |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26ca706881908fe0da780bd9f691 |
completed | May 8, 2026, 6:09 p.m. |
Created at: April 10, 2026, 1:31 a.m.