Triple
T17751091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarbajit Banerjee |
E443113
|
entity |
| Predicate | hasPublishedIn |
P309
|
FINISHED |
| Object | Advanced Materials |
—
|
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: Advanced Materials | Statement: [Sarbajit Banerjee, hasPublishedIn, Advanced Materials]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Advanced Materials Context triple: [Sarbajit Banerjee, hasPublishedIn, Advanced Materials]
-
A.
Advanced Materials
chosen
Advanced Materials is a leading peer-reviewed scientific journal that publishes cutting-edge research on materials science, including nanotechnology, biomaterials, and electronic materials.
-
B.
Advanced Functional Materials
Advanced Functional Materials is a leading peer-reviewed scientific journal focusing on cutting-edge research in materials science and advanced functional materials.
-
C.
materials science
Materials science is an interdisciplinary field that studies the structure, properties, processing, and performance of materials to design and develop new and improved substances for technological applications.
-
D.
CSD-Materials
CSD-Materials is a software suite from the Cambridge Crystallographic Data Centre designed for analyzing and predicting the properties and behavior of crystalline materials using crystallographic data.
-
E.
Engineered Materials
Engineered Materials is a business division of Celanese Corporation that develops and supplies specialized, high-performance material solutions for industrial and consumer applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841a401c8190ae1dc0ed7ae4cc26 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.