Triple
T22692723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSm proteins |
E561091
|
entity |
| Predicate | geneFamilyMembers |
P149310
|
FINISHED |
| Object |
LSM4
LSM4 is a conserved eukaryotic LSm family protein that participates in mRNA splicing and decay as part of small nuclear ribonucleoprotein (snRNP) complexes.
|
E561091
|
NE FINISHED |
How this triple was built (4 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: LSM4 | Statement: [LSm proteins, geneFamilyMembers, LSM4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSM4 Context triple: [LSm proteins, geneFamilyMembers, LSM4]
-
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.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
C.
LHM
LHM is the National Rail station code for Lealholm railway station, a rural stop on the Esk Valley Line in North Yorkshire, England.
-
D.
LSm proteins
LSm proteins are a family of conserved RNA-binding proteins that form ring-shaped complexes involved in pre-mRNA splicing and mRNA processing in eukaryotic cells.
-
E.
LRSM
LRSM is the ICAO airport code for Satu Mare International Airport in Satu Mare, Romania.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LSM4 Triple: [LSm proteins, geneFamilyMembers, LSM4]
Generated description
LSM4 is a conserved eukaryotic LSm family protein that participates in mRNA splicing and decay as part of small nuclear ribonucleoprotein (snRNP) complexes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSM4 Target entity description: LSM4 is a conserved eukaryotic LSm family protein that participates in mRNA splicing and decay as part of small nuclear ribonucleoprotein (snRNP) complexes.
-
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.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
C.
LHM
LHM is the National Rail station code for Lealholm railway station, a rural stop on the Esk Valley Line in North Yorkshire, England.
-
D.
LSm proteins
chosen
LSm proteins are a family of conserved RNA-binding proteins that form ring-shaped complexes involved in pre-mRNA splicing and mRNA processing in eukaryotic cells.
-
E.
LRSM
LRSM is the ICAO airport code for Satu Mare International Airport in Satu Mare, Romania.
- F. None of above.
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7eccc1408190a9d2473700154bd3 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7fd717b88190875264662193a43a |
completed | May 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b807b4f748190bf4172469502c150 |
completed | May 18, 2026, 9:11 p.m. |
Created at: April 17, 2026, 3:13 p.m.