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.