Triple
T31491468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendelssohn piano works |
E803416
|
entity |
| Predicate | includesWorkSeries |
P22382
|
FINISHED |
| Object | Lieder ohne Worte |
—
|
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: Lieder ohne Worte | Statement: [Mendelssohn piano works, includesWorkSeries, Lieder ohne Worte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesWorkSeries Context triple: [Mendelssohn piano works, includesWorkSeries, Lieder ohne Worte]
-
A.
hasWorkSeries
Indicates that one work belongs to, or is part of, a larger series of related works.
-
B.
workSeriesType
Indicates the type or category of series to which a work belongs (e.g., TV series, book series, film series).
-
C.
seriesIncludes
chosen
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
D.
workSeriesTitle
Indicates that a work is part of, or associated with, a particular series title.
-
E.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a013d7180d08190b76f64cb430af9e1 |
completed | May 11, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_6a013c77d23c8190bb59e458b506d6e9 |
completed | May 11, 2026, 2:18 a.m. |
Created at: April 30, 2026, 9:38 p.m.