Triple
T8107780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escamillo |
E189268
|
entity |
| Predicate | notableFor |
P22
|
FINISHED |
| Object | Toreador Song |
E712615
|
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: Toreador Song | Statement: [Escamillo, notableFor, Toreador Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toreador Song Context triple: [Escamillo, notableFor, Toreador Song]
-
A.
Toreador Song
chosen
The Toreador Song is a famous rousing aria from Georges Bizet’s opera *Carmen*, sung by the bullfighter Escamillo and known for its bold, triumphant melody.
-
B.
Serenata
Serenata is a musical composition by Portuguese composer Alfredo Keil, best known for its lyrical, romantic character within his body of work.
-
C.
The Desert Song
The Desert Song is a popular operetta, frequently adapted for film and stage, known for its romantic adventure set in the Moroccan desert and its memorable title song.
-
D.
Le Toréador
Le Toréador is a French opéra comique by Adolphe Adam, known for its lighthearted plot and incorporation of popular melodies.
-
E.
La Savina
La Savina is the main port town of Formentera in Spain’s Balearic Islands, serving as the island’s primary gateway for ferries and maritime transport.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fa40e08190955fccec1a28eb34 |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe994fc881908a43cfdf9f28753c |
completed | April 1, 2026, 6:43 a.m. |
Created at: March 30, 2026, 5:32 p.m.