Triple
T22692470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemin2 |
E561085
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
SIP1
SIP1 is a protein also known as Gemin2 that is involved in the assembly and function of the spliceosomal small nuclear ribonucleoproteins (snRNPs) essential for pre-mRNA splicing.
|
E1550439
|
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: SIP1 | Statement: [Gemin2, alternativeName, SIP1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIP1 Context triple: [Gemin2, alternativeName, SIP1]
-
A.
SIP
SIP is a macOS security technology that restricts system-level modifications to protect the operating system from malware and accidental damage.
-
B.
SIP
SIP is a Unicode supplementary plane that contains additional CJK ideographs beyond those in the Basic Multilingual Plane.
-
C.
SIP
SIP is the IATA airport code for Simferopol International Airport, the main air gateway to the Crimean Peninsula.
-
D.
SIP
SIP is the National Rail station code for Shipton railway station in Oxfordshire, England.
-
E.
SIPO
SIPO is the former name and abbreviation for China’s central government agency responsible for administering patents and other intellectual property rights.
- 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: SIP1 Triple: [Gemin2, alternativeName, SIP1]
Generated description
SIP1 is a protein also known as Gemin2 that is involved in the assembly and function of the spliceosomal small nuclear ribonucleoproteins (snRNPs) essential for pre-mRNA splicing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SIP1 Target entity description: SIP1 is a protein also known as Gemin2 that is involved in the assembly and function of the spliceosomal small nuclear ribonucleoproteins (snRNPs) essential for pre-mRNA splicing.
-
A.
SIP
SIP is a Unicode supplementary plane that contains additional CJK ideographs beyond those in the Basic Multilingual Plane.
-
B.
SIP
SIP is a macOS security technology that restricts system-level modifications to protect the operating system from malware and accidental damage.
-
C.
SIP
SIP is the National Rail station code for Shipton railway station in Oxfordshire, England.
-
D.
SIP
SIP is the IATA airport code for Simferopol International Airport, the main air gateway to the Crimean Peninsula.
-
E.
SIPO
SIPO is the former name and abbreviation for China’s central government agency responsible for administering patents and other intellectual property rights.
- 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.