Triple
T20614352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Anshelm |
E506525
|
entity |
| Predicate | printedForm |
P124809
|
FINISHED |
| Object | books |
—
|
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: books | Statement: [Thomas Anshelm, printedForm, books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: printedForm Context triple: [Thomas Anshelm, printedForm, books]
-
A.
printedFor
Indicates that one entity produced a printed version of something specifically intended for another entity as the recipient or audience.
-
B.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
C.
printedInFormat
Indicates that something has been produced or output using a specified printing format or layout.
-
D.
printedBy
Indicates that one entity is produced or output in physical or digital form by another entity acting as the printer or printing agent.
-
E.
printedWorkType
chosen
Indicates the specific category or format of a printed work that characterizes how it is produced or presented.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.