Triple
T31394849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoboken-like Mendelssohn-Werkverzeichnis (MWV N 15) |
E800836
|
entity |
| Predicate | subjectComposer |
P184869
|
FINISHED |
| Object | Felix Mendelssohn Bartholdy |
—
|
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: Felix Mendelssohn Bartholdy | Statement: [Hoboken-like Mendelssohn-Werkverzeichnis (MWV N 15), subjectComposer, Felix Mendelssohn Bartholdy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectComposer Context triple: [Hoboken-like Mendelssohn-Werkverzeichnis (MWV N 15), subjectComposer, Felix Mendelssohn Bartholdy]
-
A.
subjectDraftedBy
Indicates that the subject was selected or recruited (typically via a formal draft process) by the associated agent or organization.
-
B.
subjectMVP
Indicates that the subject is considered the most valuable player (MVP) in a given context or event.
-
C.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
-
D.
subjectOfMessages
Indicates that an entity is the main topic or focus about which the messages are written or communicated.
-
E.
mayCompose
Indicates that an entity has permission or authority to create or write another entity (such as a document, message, or composition).
- F. None of above. chosen
Provenance (4 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 29, 2026, 9:19 p.m.