Triple
T10794147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtzbrinck Publishing Group |
E254659
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Digital Science |
E673853
|
NE 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: Digital Science | Statement: [Holtzbrinck Publishing Group, owns, Digital Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digital Science Context triple: [Holtzbrinck Publishing Group, owns, Digital Science]
-
A.
Digital Science
chosen
Digital Science is a technology company that provides research analytics, data, and software tools to support and improve the scholarly research ecosystem.
-
B.
Digital Research
Digital Research was a pioneering software company best known for creating early microcomputer operating systems such as CP/M and its 16-bit variants.
-
C.
Scientific Data Systems
Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
-
D.
Web Science
Web Science is an interdisciplinary field that studies the social, technical, and conceptual structures of the World Wide Web and its impact on society.
-
E.
Digital Scholarship Lab
The Digital Scholarship Lab is a Brown University Library facility that supports research and teaching through advanced digital tools, data visualization, and collaborative scholarly projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f878648190be5e25c56a7511cf |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de564748ac8190beaaea44bb2d95ed |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:17 p.m.