Triple
T9006110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Efrem Zimbalist |
E215146
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sarasateana
Sarasateana is a virtuosic violin showpiece by Efrem Zimbalist that pays tribute to the style and themes of Pablo de Sarasate.
|
E770720
|
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: Sarasateana | Statement: [Efrem Zimbalist, notableWork, Sarasateana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarasateana Context triple: [Efrem Zimbalist, notableWork, Sarasateana]
-
A.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
-
B.
De Música
De Música is a renowned abstract sculpture by Spanish Basque artist Eduardo Chillida, celebrated for its exploration of space, form, and rhythm reminiscent of musical composition.
-
C.
La Musica
La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
-
D.
Saña
Saña is a historic town in northern Peru known for its colonial heritage and association with early Spanish ecclesiastical figures.
-
E.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
- 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: Sarasateana Triple: [Efrem Zimbalist, notableWork, Sarasateana]
Generated description
Sarasateana is a virtuosic violin showpiece by Efrem Zimbalist that pays tribute to the style and themes of Pablo de Sarasate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarasateana Target entity description: Sarasateana is a virtuosic violin showpiece by Efrem Zimbalist that pays tribute to the style and themes of Pablo de Sarasate.
-
A.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
-
B.
De Música
De Música is a renowned abstract sculpture by Spanish Basque artist Eduardo Chillida, celebrated for its exploration of space, form, and rhythm reminiscent of musical composition.
-
C.
La Musica
La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
-
D.
Saña
Saña is a historic town in northern Peru known for its colonial heritage and association with early Spanish ecclesiastical figures.
-
E.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd17e5850819087fbb60fdc612fd9 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd215204c8190886cc071f100aab6 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:05 p.m.