Triple
T30763170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lamentation of Doctor Faustus |
E783290
|
entity |
| Predicate | hasFictionalComposer |
P68311
|
FINISHED |
| Object | Adrian Leverkühn |
—
|
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: Adrian Leverkühn | Statement: [The Lamentation of Doctor Faustus, hasFictionalComposer, Adrian Leverkühn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalComposer Context triple: [The Lamentation of Doctor Faustus, hasFictionalComposer, Adrian Leverkühn]
-
A.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
B.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
C.
hasFictionalAuthor
chosen
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
D.
hasFictionalPerformer
Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
-
E.
hasNotableComposer
Indicates that an entity is associated with a composer who is recognized as particularly significant or distinguished.
- F. None of above.
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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: April 29, 2026, 8:39 p.m.