Triple
T7481861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaime Lorente |
E176777
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lorente
Lorente is a Spanish surname borne by various notable individuals, including actors, athletes, and public figures.
|
E666756
|
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: Lorente | Statement: [Jaime Lorente, familyName, Lorente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorente Context triple: [Jaime Lorente, familyName, Lorente]
-
A.
Murillo
Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
-
B.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
-
C.
Vidal-Quadras
Vidal-Quadras is a Spanish surname most prominently associated with Alejo Vidal-Quadras, a conservative politician and former vice president of the European Parliament.
-
D.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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: Lorente Triple: [Jaime Lorente, familyName, Lorente]
Generated description
Lorente is a Spanish surname borne by various notable individuals, including actors, athletes, and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorente Target entity description: Lorente is a Spanish surname borne by various notable individuals, including actors, athletes, and public figures.
-
A.
Murillo
Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
-
B.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
-
C.
Vidal-Quadras
Vidal-Quadras is a Spanish surname most prominently associated with Alejo Vidal-Quadras, a conservative politician and former vice president of the European Parliament.
-
D.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
-
E.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f534aa388190b3bb3e16be3a54c8 |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83498965481909367681b63c5db63 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835cf7a58819095ed79b84f935a84 |
completed | March 28, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8366b2fcc8190bd8b07a54a848721 |
completed | March 28, 2026, 8:13 p.m. |
Created at: March 27, 2026, 3:42 p.m.