Triple
T6065061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMN2 |
E135135
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
GTF2H5L
GTF2H5L is an alternative name for the SMN2 gene, which encodes a protein involved in the survival of motor neurons and is implicated in spinal muscular atrophy.
|
E567203
|
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: GTF2H5L | Statement: [SMN2, alsoKnownAs, GTF2H5L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTF2H5L Context triple: [SMN2, alsoKnownAs, GTF2H5L]
-
A.
HGF
HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
-
B.
HGF
HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
-
C.
Gant
Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
-
D.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
E.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
- 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: GTF2H5L Triple: [SMN2, alsoKnownAs, GTF2H5L]
Generated description
GTF2H5L is an alternative name for the SMN2 gene, which encodes a protein involved in the survival of motor neurons and is implicated in spinal muscular atrophy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GTF2H5L Target entity description: GTF2H5L is an alternative name for the SMN2 gene, which encodes a protein involved in the survival of motor neurons and is implicated in spinal muscular atrophy.
-
A.
HGF
HGF is the abbreviation for the Helmholtz Association, Germany’s largest scientific research organization spanning multiple disciplines and large-scale facilities.
-
B.
HGF
HGF is the National Rail station code for Hag Fold railway station in Greater Manchester, England.
-
C.
Gant
Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
-
D.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
E.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05723c91c819090b4d4672e72f9f3 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11dec348c819090715aa1ec407f11 |
completed | March 23, 2026, 11:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11e5efd848190adb834e42b4bdc9e |
completed | March 23, 2026, 11:05 a.m. |
Created at: March 22, 2026, 4:10 p.m.