Triple
T22692721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSm proteins |
E561091
|
entity |
| Predicate | geneFamilyMembers |
P149310
|
FINISHED |
| Object | LSM2 |
—
|
NE NERFINISHED |
How this triple was built (3 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: LSM2 | Statement: [LSm proteins, geneFamilyMembers, LSM2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSM2 Context triple: [LSm proteins, geneFamilyMembers, LSM2]
-
A.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
B.
Yama LSM
Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
-
C.
Log-Structured Merge-Tree
A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
-
D.
SSTables
SSTables (Sorted String Tables) are immutable, disk-based data files used by distributed databases to store sorted key-value data efficiently for fast reads and sequential writes.
-
E.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSM2 Target entity description: LSM2 is a conserved eukaryotic LSm (Like Sm) protein that forms part of RNA-binding complexes involved in pre-mRNA splicing and mRNA decay.
-
A.
LSM
LSM is an undergraduate dual-degree program at the University of Pennsylvania that integrates rigorous training in life sciences with business and management education.
-
B.
Yama LSM
Yama LSM is a Linux Security Module focused on strengthening process isolation and restricting ptrace and related debugging capabilities to harden the kernel against local attacks.
-
C.
Log-Structured Merge-Tree
A Log-Structured Merge-Tree (LSM-tree) is a write-optimized data structure that organizes data in sequential logs and periodically merges them to provide efficient writes and good read performance for key-value storage systems.
-
D.
SSTables
SSTables (Sorted String Tables) are immutable, disk-based data files used by distributed databases to store sorted key-value data efficiently for fast reads and sequential writes.
-
E.
RocksDB
RocksDB is a high-performance, embeddable key–value store developed by Facebook, optimized for fast storage on flash and solid-state drives using a Log-Structured Merge-Tree (LSM) architecture.
- F. None of above. chosen
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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789ba0148190891781d05ec64f3c |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.