Triple
T23340960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlioz’s Les Troyens à Carthage |
E591732
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Hector Berlioz |
—
|
NE NERFINISHED |
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: Hector Berlioz | Statement: [Berlioz’s Les Troyens à Carthage, composer, Hector Berlioz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hector Berlioz Context triple: [Berlioz’s Les Troyens à Carthage, composer, Hector Berlioz]
-
A.
Hector Berlioz
chosen
Hector Berlioz was a pioneering 19th-century French composer and conductor known for his innovative orchestration and dramatic programmatic works such as the Symphonie fantastique.
-
B.
Jacques Berlioz
Jacques Berlioz was a French film and stage actor active in the early to mid-20th century, known for his supporting roles in numerous classic French films.
-
C.
Berlioz
Berlioz is one of the three kitten characters in Disney's animated film "The Aristocats," known for his shy demeanor and talent for playing the piano.
-
D.
Berloz
Berloz is a small municipality in the province of Liège in Wallonia, Belgium.
-
E.
Charles de Villiers
Charles de Villiers was a Roman Catholic prelate who served as bishop of the historic Diocese of Auxerre in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198329d9c8190992627afa9b54bed |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.