Triple
T20162101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Herbert |
E491732
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Serenade |
—
|
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: The Serenade | Statement: [Victor Herbert, notableWork, The Serenade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Serenade Context triple: [Victor Herbert, notableWork, The Serenade]
-
A.
The Serenade
chosen
The Serenade is a romantic comic opera by composer Victor Herbert that helped establish his reputation in early American musical theater.
-
B.
Serenad
Serenad is a bestselling novel by Turkish author Zülfü Livaneli that intertwines a contemporary Istanbul narrative with a tragic love story set against the backdrop of World War II and the Holocaust.
-
C.
Serenade
Serenade is a 1937 novel by American writer James M. Cain, known for its dark blend of crime, sexuality, and the world of opera.
-
D.
Serenade
"Serenade" is a popular mid-20th-century song composed by Nicholas Brodszky, known for its lush romantic melody and use in film and vocal performances.
-
E.
Serenata
Serenata is a musical composition by Portuguese composer Alfredo Keil, best known for its lyrical, romantic character within his body of work.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e505888190a05e26a3c5a0ede1 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.