Triple
T2187408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desi Arnaz |
E49182
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Arnaz
Arnaz is a Spanish-origin surname most famously associated with Cuban-American entertainer Desi Arnaz of "I Love Lucy" fame.
|
E242213
|
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: Arnaz | Statement: [Desi Arnaz, familyName, Arnaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnaz Context triple: [Desi Arnaz, familyName, Arnaz]
-
A.
Nestor Carbonell
Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
-
B.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Leo Carrillo
Leo Carrillo was an American character actor and vaudevillian best known for his role as Pancho in the classic television series "The Cisco Kid."
-
D.
Rafael Mijares
Rafael Mijares was a Mexican architect best known for co-designing Mexico City’s iconic National Museum of Anthropology, a landmark of modernist museum architecture.
-
E.
Nacho Gil
Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
- 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: Arnaz Triple: [Desi Arnaz, familyName, Arnaz]
Generated description
Arnaz is a Spanish-origin surname most famously associated with Cuban-American entertainer Desi Arnaz of "I Love Lucy" fame.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arnaz Target entity description: Arnaz is a Spanish-origin surname most famously associated with Cuban-American entertainer Desi Arnaz of "I Love Lucy" fame.
-
A.
Nestor Carbonell
Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
-
B.
Ramón
Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Leo Carrillo
Leo Carrillo was an American character actor and vaudevillian best known for his role as Pancho in the classic television series "The Cisco Kid."
-
D.
Rafael Mijares
Rafael Mijares was a Mexican architect best known for co-designing Mexico City’s iconic National Museum of Anthropology, a landmark of modernist museum architecture.
-
E.
Nacho Gil
Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf130ef081908adb4a22f056be5b |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dab44008190aeb4f77b73db2b36 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e5fe37c8190bcf73200d32f5faa |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ed1e3208190b46d5e8361c2a5f6 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.