Triple
T4963578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blas de Lezo |
E111466
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Lezo
De Lezo is the surname of the Spanish admiral Blas de Lezo, famed for his decisive defense of Cartagena de Indias against a vastly superior British fleet in 1741.
|
E482039
|
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 Lezo | Statement: [Blas de Lezo, familyName, de Lezo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Lezo Context triple: [Blas de Lezo, familyName, de Lezo]
-
A.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
D.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
-
E.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
- 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 Lezo Triple: [Blas de Lezo, familyName, de Lezo]
Generated description
De Lezo is the surname of the Spanish admiral Blas de Lezo, famed for his decisive defense of Cartagena de Indias against a vastly superior British fleet in 1741.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Lezo Target entity description: De Lezo is the surname of the Spanish admiral Blas de Lezo, famed for his decisive defense of Cartagena de Indias against a vastly superior British fleet in 1741.
-
A.
Delarue
Delarue is a vengeful ex-soldier and gunslinger who serves as the main protagonist in the Western thriller film "The Salvation."
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
D.
Greuze
Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
-
E.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f555b48190984ee914ba1a91ee |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81edb99481909397559479c3badb |
completed | March 21, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69be82b3aab08190a0bbdb94067fecfb |
completed | March 21, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8323963481909b5c9902c4b0188d |
completed | March 21, 2026, 11:38 a.m. |
Created at: March 20, 2026, 1:32 p.m.