Triple
T3130957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Servando Carrasco |
E65411
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Servando
Servando is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
|
E331067
|
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: Servando | Statement: [Servando Carrasco, givenName, Servando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Servando Context triple: [Servando Carrasco, givenName, Servando]
-
A.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
B.
Scamarcio
Scamarcio is the surname of Italian actor and film producer Riccardo Scamarcio, known for his roles in contemporary Italian cinema.
-
C.
Altiero
Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
-
D.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
E.
Armando
Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
- 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: Servando Triple: [Servando Carrasco, givenName, Servando]
Generated description
Servando is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Servando Target entity description: Servando is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
A.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
B.
Scamarcio
Scamarcio is the surname of Italian actor and film producer Riccardo Scamarcio, known for his roles in contemporary Italian cinema.
-
C.
Altiero
Altiero is an Italian given name most notably borne by the influential federalist politician Altiero Spinelli, a founding figure of the European integration movement.
-
D.
Raymundo
Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
-
E.
Armando
Armando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking countries.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69b225896c4c81909e875a2d357e7bc5 |
completed | March 12, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225fef06081908dcd8201def1ad95 |
completed | March 12, 2026, 2:33 a.m. |
Created at: March 8, 2026, 3:04 p.m.