Triple
T22692599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemin6 |
E561088
|
entity |
| Predicate | formsComplexWith |
P6653
|
FINISHED |
| Object | Gemin5 |
—
|
NE NERFINISHED |
How this triple was built (2 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: Gemin5 | Statement: [Gemin6, formsComplexWith, Gemin5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemin5 Context triple: [Gemin6, formsComplexWith, Gemin5]
-
A.
Gemin5
chosen
Gemin5 is an RNA-binding protein that is part of the SMN complex and plays a key role in small nuclear ribonucleoprotein (snRNP) assembly and pre-mRNA splicing.
-
B.
Gemin6
Gemin6 is a component of the SMN (survival motor neuron) complex involved in the assembly and maturation of small nuclear ribonucleoproteins essential for pre-mRNA splicing.
-
C.
Gemin3
Gemin3 is an RNA helicase and core component of the SMN complex that plays a crucial role in the assembly and metabolism of small nuclear ribonucleoproteins (snRNPs) involved in pre-mRNA splicing.
-
D.
Gemin2
Gemin2 is a core component of the SMN complex that plays a crucial role in the assembly of small nuclear ribonucleoproteins (snRNPs) essential for pre-mRNA splicing.
-
E.
Gemini 2.0
Gemini 2.0 is a major updated release of Google’s multimodal AI model family, designed to provide more powerful and versatile capabilities across text, code, image, and other modalities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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.