Triple
T46064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himno Nacional de Chile |
E902
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Ramón Carnicer
Ramón Carnicer was a 19th-century Spanish composer best known for writing the music of the Chilean national anthem.
|
E13419
|
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: Ramón Carnicer | Statement: [Himno Nacional de Chile, musicBy, Ramón Carnicer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramón Carnicer Context triple: [Himno Nacional de Chile, musicBy, Ramón Carnicer]
-
A.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
B.
Eusebio Lillo
Eusebio Lillo was a 19th-century Chilean poet and politician best known as the author of the lyrics of Chile’s national anthem.
-
C.
Jordi Fernández
Jordi Fernández is a Spanish professional basketball coach known for his roles as an NBA assistant and international head coach, including leading the Canadian national team.
-
D.
Ramón José Castellano
Ramón José Castellano was an Argentine Roman Catholic archbishop best known for ordaining Jorge Mario Bergoglio, the future Pope Francis, to the priesthood.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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: Ramón Carnicer Triple: [Himno Nacional de Chile, musicBy, Ramón Carnicer]
Generated description
Ramón Carnicer was a 19th-century Spanish composer best known for writing the music of the Chilean national anthem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramón Carnicer Target entity description: Ramón Carnicer was a 19th-century Spanish composer best known for writing the music of the Chilean national anthem.
-
A.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
B.
Eusebio Lillo
Eusebio Lillo was a 19th-century Chilean poet and politician best known as the author of the lyrics of Chile’s national anthem.
-
C.
Jordi Fernández
Jordi Fernández is a Spanish professional basketball coach known for his roles as an NBA assistant and international head coach, including leading the Canadian national team.
-
D.
Ramón José Castellano
Ramón José Castellano was an Argentine Roman Catholic archbishop best known for ordaining Jorge Mario Bergoglio, the future Pope Francis, to the priesthood.
-
E.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2981b3b508190a4cb062e4ada7891 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a29891d3348190a64f2a6ee1f829a8 |
completed | Feb. 28, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2990b6b4c8190b8012e9e33bb0e04 |
completed | Feb. 28, 2026, 7:28 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.