Triple
T8468665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnaval, Op. 9 |
E200226
|
entity |
| Predicate | portraysCharacter |
P1668
|
FINISHED |
| Object | Estrella |
E736548
|
NE FINISHED |
How this triple was built (2 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: Estrella | Statement: [Carnaval, Op. 9, portraysCharacter, Estrella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estrella Context triple: [Carnaval, Op. 9, portraysCharacter, Estrella]
-
A.
Estrella
Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
-
B.
Estrella
Estrella is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose role intertwines with themes of destiny, honor, and political intrigue.
-
C.
Estrella
chosen
Estrella is one of the character pieces in Robert Schumann’s piano cycle Carnaval, Op. 9, often noted for its lyrical and intimate musical character.
-
D.
Estrela
Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
-
E.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d445f48190884df64bb1aebd41 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.