Triple
T21433390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Bebel |
E528745
|
entity |
| Predicate | has part in the series |
P68494
|
FINISHED |
| Object | history of the German labour movement |
—
|
LITERAL 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: history of the German labour movement | Statement: [August Bebel, has part in the series, history of the German labour movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has part in the series Context triple: [August Bebel, has part in the series, history of the German labour movement]
-
A.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
B.
partOfSeriesWith
chosen
Indicates that one entity is a member or installment within the same series as another entity, linking them as related parts of a larger sequence or collection.
-
C.
hasPartInFilmSeries
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
D.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
-
E.
hasPartInTrilogy
Indicates that an entity is one of the constituent parts (e.g., books, films, or episodes) that together form a specific trilogy.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813fe2108190a4193f69667fe79e |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:59 p.m.