Triple
T32787207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuomas Jukola |
E838529
|
entity |
| Predicate | workTitleInFinnish |
P23453
|
FINISHED |
| Object | Seitsemän veljestä |
—
|
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: Seitsemän veljestä | Statement: [Tuomas Jukola, workTitleInFinnish, Seitsemän veljestä]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleInFinnish Context triple: [Tuomas Jukola, workTitleInFinnish, Seitsemän veljestä]
-
A.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
B.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
-
C.
workTitleInPortuguese
Indicates that the relationship specifies the title of a work as expressed in the Portuguese language.
-
D.
titleInFinnish
chosen
Indicates that the specified title or name of something is expressed in the Finnish language.
-
E.
workTitleType
Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:14 a.m.