Triple
T9810642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giacomo Meyerbeer |
E238261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Meyerbeer |
E238261
|
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: Meyerbeer | Statement: [Giacomo Meyerbeer, familyName, Meyerbeer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meyerbeer Context triple: [Giacomo Meyerbeer, familyName, Meyerbeer]
-
A.
Giacomo Meyerbeer
chosen
Giacomo Meyerbeer was a 19th-century German opera composer renowned for his grand operas that dominated the Parisian stage and influenced the development of Romantic opera.
-
B.
Auber
Auber is a major underground RER and metro station in central Paris, located near the Opéra Garnier and serving as a key hub in the city’s transit network.
-
C.
Fromental Halévy
Fromental Halévy was a 19th-century French composer best known for his grand operas, particularly the influential work "La Juive."
-
D.
Georges Bizet
Georges Bizet was a 19th-century French composer best known for his opera "Carmen," one of the most frequently performed works in the operatic repertoire.
-
E.
Jules Massenet
Jules Massenet was a prominent French Romantic composer best known for his operas, including "Manon" and "Werther," which have remained staples of the international repertoire.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:30 p.m.