Triple
T22692649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sm proteins |
E561090
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
SmE
SmE is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
|
E1550444
|
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: SmE | Statement: [Sm proteins, hasMember, SmE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SmE Context triple: [Sm proteins, hasMember, SmE]
-
A.
SM
SM is the vehicle registration code assigned to the German town of Meiningen and its surrounding district.
-
B.
SM
SM is the vehicle registration code used on license plates for vehicles registered in Satu Mare County, Romania.
-
C.
SM
SM is the U.S. Army’s Soldier’s Medal, a military decoration awarded for acts of heroism not involving actual conflict with an enemy.
-
D.
SM
SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
-
E.
SM
SM is a UK postcode area in southwest London and northern Surrey, covering towns such as Sutton, Cheam, and Carshalton.
- 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: SmE Triple: [Sm proteins, hasMember, SmE]
Generated description
SmE is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SmE Target entity description: SmE is one of the core Sm proteins that assemble into a ring-shaped complex essential for pre-mRNA splicing in eukaryotic cells.
-
A.
SM
SM is the vehicle registration code assigned to the German town of Meiningen and its surrounding district.
-
B.
SM
SM is the vehicle registration code used on license plates for vehicles registered in Satu Mare County, Romania.
-
C.
SM
SM is the U.S. Army’s Soldier’s Medal, a military decoration awarded for acts of heroism not involving actual conflict with an enemy.
-
D.
SM
SM is a UK postcode area in southwest London and northern Surrey, covering towns such as Sutton, Cheam, and Carshalton.
-
E.
SM
SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
- F. None of above. chosen
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.